About Paperspace
Paperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.
Paperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.
Our Team 
Paperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.
The Role
In this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. 
You'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.
This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.
What you'll be doing
• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform
• Effectively articulate best practices for instrumenting machine learning pipelines to our customers
• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems
• Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded.
• Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
• Develop and refine product documentation
• Develop sample projects that can run seamlessly on the platform
• Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback
• Actively use Gradient features in a variety of scenarios to provide internal product guidance
• Contribute ideas and feedback and help prioritize feature requests and bug fixes
• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc
• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient
• Keep the organization apprised of new developments in applied &#x26; theoretical ML
• Prototype new features for visualization and analysis in state-of-the-art deep learning research
What we're looking for
• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role
• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch
• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful
• Excellent communication and presentation skills, both written and verbal
• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment
• Ability to break down complex problems and resolve them through customer consultation and execution.
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with Linux/Unix
• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment
• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)
• Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions
• Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications
• Writing easy-to-follow code and effective documentation for your projects
• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge
• Strong writing and data visualization skills
Strong Plus
• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter,
• Experience with hyperparameter optimization solutions
• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes
• Experience with data pipeline tools
• Experience as an ML educator and/or building and executing customer training sessions, product demos,
and/or workshops at a SaaS company
• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine • learning more accessible, transparent, and collaborative
• Experience contributing to architecture and systems design
• Teaching experience
Why join us? 
• Top-tier machine learning teams rely on our tools for their daily work
• This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.
• Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.
• A best-in-class product in one of the fastest-growing and largest market segments
Benefits
• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans
• 401(k) Plan with employer matching
• Commuter benefits with a contribution from the company
• Responsible Time Off Policy
• Generous and flexible parental leave
• Fitness &#x26; wellness benefit
• Remote friendly and hybrid office environment for New York team members
We are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-Remote
Apply now and work remotely at Paperspace

Paperspace

Machine Learning Engineer (📍New York City) #remotework

About us:
Formed in 2021, MomentRanks is the premier resource for tracking and engaging with the NFT ecosystem. We've seen over hundreds of thousands of users and millions of pageviews since launching in February, and we are growing incredibly quickly. We're looking for people who are obsessed with building on the future of blockchains.
About the position:
We have data from the blockchain -- a lot of it. We'll provide the data, and you'll generate interpretable for our users. You'll be put in a place to succeed as a leader and as a scientist, generating integral data for a product that will be seen by millions of users. 
Ideally, you have experience with:
<ul>
<li>programming (e.g. Python)</li>
<li>databases and massive data sets (e.g. MongoDB)</li>
<li>advanced statistical modeling techniques</li>
<li>time-series data analysis</li>
</ul>
 Apply now and work remotely at MomentRanks

MomentRanks

Senior Data Scientist (San Francisco)

About Us
BookNook is a dual bottom line education technology company that is committed to closing the early reading opportunity gap through innovations that prioritize authentic human connections to support learning.  We believe the best edtech solutions are developed and supported by people with their roots in the classroom or the social sector, and we strive to build a team that reflects the diversity of the communities we serve.
A key feature of the BookNook product is our ability to leverage student performance data in order to track their progress and make informed lesson recommendations. We care deeply about the effectiveness of our approach, and as a Data Engineer at BookNook, you will play an integral role in building out and scaling our data strategy.  The data engineer will work alongside our data analyst, psychometrician (testing expert), engineers, content experts, and product managers to build out an ETL and BI pipeline to help us answer key questions about the efficacy of our teaching methods. For instance, how does tutoring dosage affect student growth? Which cohorts of students are making the most or least progress, and why? When is a student ready to 'level up'? Our end goal is to productionalize machine learning models to track student growth accurately enough to ameliorate the burden of continual testing.
Join a company with a mission. BookNook has been around since 2016, is growing fast, and has already helped tens of thousands of children improve their literacy, especially those that come from the most disadvantaged environments. We're a scrappy, smart team that gets things done but we are strong believers in family, friends, and work-life balance. Work on exciting technology and make a tangible difference in the world every day.
#LI-Remote
Apply now and work remotely at BookNook

BookNook

Data Engineer

Our mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human. We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. Our innovative approach has been covered in Inc. Magazine and Quartz, we’re backed by the investors behind Figma, Dropbox and Slack, and advised by thought-leaders including renowned organizational psychologist and NYT bestselling author Adam Grant.
What will you do?
As the founding member of the data science team, reporting to the Head of Engineering, you will:
• You will build algorithms on top of our unique interview data asset to measure quality, consistency, and fairness, and to identify and highlight important moments of conversation
• Drive continuous improvement in the speed and quality of our transcripts to further our product and analytics
• Support the BrightHire data platform. You will help define, architect, and buy or build features and products to improve the data platform.
Who are you?
• You have 5+ years of professional experience working in data science roles
• You have experience uncovering key insights from large swaths of data
• You have experience investigating and delivering user-facing ML features.
• Experience with developing NLP features is a plus.
• Experience with Full Stack Engineering is a plus.
• Experience with building significant pieces of an organization's data platform and strategy is a plus.
• You are resourceful and are happy wearing many hats.
• You have worked in a startup-like environment with limited resources and established processes.
• You empathize with the customer.
• You have a strong opinion on what should be built and how it solves the customer’s problem.
• You can communicate complex engineering ideas to a non-technical audience.
• You value collaboration and gathering feedback from team members across the organization comes naturally to you.
More about us:
• We’re very collaborative, we’re always brainstorming ideas about product, strategy, etc.
• We use our product daily in our own hiring, which is rewarding and gives us product empathy!
• We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.
• Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a company
• We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travel...
Benefits:
• Meaningful equity
• Fully paid health, dental and vision coverage
• Generous budget for your ideal work environment
• Unlimited PTO, with a minimum # of days everyone must take :)
• Annual learning stipend for courses, conferences, etc.
• Monthly snack pantry delivered to your door
Our goal is to ensure that BrightHire upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status, and we'd love to learn about what you can add to our team.
*Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website. We will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered our property.
Apply now and work remotely at BrightHire

BrightHire

Head of Data Science

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.
About the team
Applied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, and podcasts. We’re seeking a skilled Senior ML Engineer that specializes in MLOps to help us productionize our wide variety of real time &#x26; batch processing models. Our team of 5 data scientists are excited to learn from you about how to efficiently build scalable production systems and to share their knowledge of building high performance machine learning models.
About You
You enjoy teaching the skills you’ve acquired. As a senior ML engineer you’ve developed the ability to deeply understand the larger data ecosystem system from model requirements to business needs. You focus on designing tools and capabilities that help the team deploy more models to production. You’re able to connect what you’re building to the downstream impact of how it will improve the product.
You will:
Design and implement ML systems that scale to reach millions of people.
Package tests, build containers, and deploy artifacts in CI/CD pipelines.
Work with our AWS tech stack leveraging S3, ECR, CodeBuild, AWS Lambda, Sagemaker, &#x26; Databricks.
Create the interfaces, infrastructure, and clusters to process data efficiently.
Work with other teams improve Scribd’s ML platform: logging, monitoring, scalability, model retraining, automated testing, environment isolation, and model health monitoring.
Build pipelines that process terabytes of data.
Collaborate across teams to determine the highest-impact opportunities.
You Have:
4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments.
Advanced Spark or Pyspark skills.
Intermediate Python and SQL skills.
Experience optimizing infrastructure usage for performance, reliability, and cost.
An understanding of fundamental ML concepts and exposure to ML libraries like TensorFlow, Pytorch, and Scikit-learn.
Knowledge of relevant software design patterns and system architecture.
Experience working with the AWS technology stack and frameworks and environments such as Airflow and Docker.
Benefits, Perks and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, &#x26; Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity &#x26; Inclusion training
• Learning &#x26; Development and Coaching programs
• Monthly Wellness, Connectivity &#x26; Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends &#x26; family
• Monthly inclusive multi-cultural celebrations &#x26; learning opportunities
Want to learn more? Check out our office and meet some of the team at <a href="http://www.linkedin.com/company/scribd/life" target="_blank" rel="nofollow,ugc">www.linkedin.com/company/scribd/life</a>
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Apply now and work remotely at Scribd

Scribd

Senior Machine Learning Engineer (San Francisco OR US/Canada)

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.
 
Who We Are
Nylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors including Patrick Collison, Co-Founder and CEO of Stripe, John Collison, President and Co-Founder of Stripe, Sebastian Siemiatkowski, CEO of Klarna, and Tony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, and Move.com.
 
Our Work Philosophy
Nylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.
 
AND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. They can go anywhere as long as they respect the working hours (time zones) of their team. Wherever motivates them; inspires them to be better versions of themselves. This means Nylanauts can work from the slopes of Missoula before traveling to the beaches of San Diego. Wonderful!
 
And if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can. Go ahead! The workspace is there to be utilized.
Why Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.
 
So, if you’re looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!
 
Recent Awards:
Fastest Growing Companies (Inc 500)
2020 Great Place to Work (Great Place to Work)
2020 Best Places for Professional Development (Comparably)
2019 Best Leadership Team (Comparably)
2020 Happiest Employees (Comparably)
2020 Best Companies for Compensation (Comparably)
2020 Best Companies for Perks &#x26; Benefits (Comparably)
2020 Best Companies for Work-Life Balance (Comparably)
 
About the team
The Intelligence team at Nylas is responsible for the forward development of various services that build on top of emails, calendars, and contacts. We utilize natural language processing, machine learning, and integrations with external APIs to categorize and contextualize information for developers to build an intelligence layer on top of Nylas’ world-class communications layer.
 
About the role
This role will be responsible for designing, developing, and deploying various solutions from rule-based to deep learning models leveraging on Natural Language Processing to extract information and gain insight into emails, calendars, and contacts. In this role, 70% of your time will be dedicated to performing SWE and MLOps tasks, and 30% to developing new models. Reporting to the Director, Software Engineering, you will join a robust and growing team that is geographically distributed and extremely collaborative. 
Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.
Nylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.
 Apply now and work remotely at Nylas

Nylas

Senior Machine Learning Engineer NLP (Toronto, ON)

The College Board, the national educational organization, is conducting a search for a Technical Architect for our Technology department. This position is based in our Reston, Virginia office, or remote in the USA. 
 
About the Role
The College and Career Access group of the College Board seeks a Technical Architect to work within the PowerFAIDS Cloud team. In this data explosion age, processing, analysis, and management of data are the core activities of almost all businesses.  College Board is looking for an experienced technologist with technical depth and strong interpersonal skills who is passionate about working with customers to help build applications at scale. This includes enabling innovation through continuous deployment in DevOps, building web &#x26; mobile scale-out applications, using RDBMS (MySQL, AWS Aurora, Oracle, and Postgres) and/or NoSQL (AWS DynamoDB, MongoDB, and Cassandra) data stores, building IoT use cases and implementing big data analytics w/ technologies like Hadoop, Spark, EMR, RedShift, and Kinesis. The Technical Architect is accountable for the comprehensive high-level design, functionality, economics, and architectural compliance of project solution options; they are responsible for delivering EA-compliant project solution architectures that meet the business’ functional requirements. The Technical Architect will identify core and important features for the Program and Business and realize them with state-of-art technologies. This individual will apply proven communication, analytical and problem-solving skills to help identify, communicate, and solve systems problems.  In addition, the Technical Architect provides consultative technical leadership across the organization, from strategic decision-making down to the project planning level. 
Responsibilities of the role
<ul>
<li>Architect and deliver optimal solutions that are aligned with an EA perspective.</li>
<li>Create synergies and reuse within and across projects.</li>
<li>Establish Solution &#x26; Application architectural standards and strategies as the norm.</li>
<li>Lead projects through gating reviews.</li>
<li>Confer with stakeholders to define business requirements for complex systems development – from both functional and non-functional perspectives (i.e. concept of operations, performance, test, cost, schedule, training, support, and disposal).</li>
<li>Collaborate with other architects –data architects, technical architects, business architects, domain architects, or enterprise architects -- and marry their various requirements into one solution.</li>
<li>Model business and systems processes based on findings through use case scenarios, workflow diagrams, and data models.</li>
<li>Evaluate alternative architectures with respect to their composition, e.g. people, hardware, software, facilities, policies, documents, risks, and cost.</li>
<li>Create systems models, data models, specifications, diagrams, and charts to provide architectural expertise, direction, and assistance to project and development teams.</li>
<li>Validate, through proof of concepts and implementation, the architecture’s compliance to the requirements and verifies the system’s compliance to the architecture.</li>
<li>Develop, document, and communicate plans for investing in systems architecture, including analysis of cost reduction opportunities.</li>
<li>Contribute to technology strategy and planning.  Conduct research on emerging technologies in support of systems development efforts and recommend technologies that will increase cost-effectiveness and systems flexibility. </li>
<li>Participate in the architecture roadmap activities. </li>
<li>Review new and existing systems design projects and procurement or outsourcing plans for compliance with standards and architectural plans.</li>
<li>Develop, document, communicate, and enforce system standards as necessary.</li>
<li>Provide guidance to junior members of the team.</li>
</ul>
Qualifications needed for the role
<ul>
<li>Education - Bachelor's degree in the field of computer science or systems engineering (Master’s degree preferred).</li>
<li>Professional training and/or certifications using Amazon Web Services, Oracle, Linux, Java, and Microsoft tools and technologies desired.</li>
<li>10+ years of general experience in systems design and integration</li>
<li>Expert level experience in architecture design in the areas of enterprise application, server less, micro-services, data, and web applications.</li>
<li>Architecture Experience - 5 years minimum across multiple disciplines (Requirements Engineering, Risk management, Technology planning, design, development, System Integration, or Quality Assurance).</li>
</ul>
Preferred skills for the role
<ul>
<li>Extensive experience in developing strategic application architecture plans.</li>
<li>Exceptional analytical, conceptual, and problem-solving abilities.</li>
<li>Superior written and oral communication skills; ability to present ideas in business-friendly and user-friendly language.</li>
<li>Excellent architecture and technical support documentation skills.</li>
<li>Proven experience in systems and network design and development.</li>
<li>Strong understanding of information processing principles and practices.</li>
<li>Hands-on experience designing and implementing solutions using Amazon Web Services (AWS) services including IAM, Lambda, Cognito, CloudWatch, CloudFormation, SNS/SQS, S3, CloudFront, API Gateway, Dynamo, Organizations</li>
<li>Experience with “on-premise to cloud” migrations or IT transformations</li>
<li>Experience architecting/operating solutions build on AWS</li>
<li>Technical knowledge of Cloud Computing, DevOps, and Microservices.</li>
<li>Strong knowledge of COTS evaluation principles and practices.</li>
<li>Ability to conduct research into emerging technologies and trends, standards, and products as required.</li>
<li>Able to prioritize and execute tasks in a high-pressure environment.</li>
<li>Experience working in a team-oriented, collaborative environment.</li>
<li>Strong interpersonal skills</li>
<li>Strong consultative skills</li>
<li>Highly self-motivated and directed, with keen attention to detail.</li>
<li>Strong leadership skills and customer service orientation.</li>
<li>Lifelong Learner – what is learned today will be obsolete tomorrow; demonstrated continuous learning</li>
<li>Willingness/ability to work off-shifts (evening, night-time, weekend) as needed</li>
</ul>
About College Board 
We are a mission-focused, not-for-profit membership organization promoting innovation, equity, and excellence for all students. Our members include more than 6,000 of the world’s leading educational institutions. We have 1,600 employees in 13 offices across the continental U.S. and Puerto Rico. 
We are advocates for children and parents, we empower teachers and educators, and we're a strong presence in thousands of schools and communities across the country through our programs and services—the SAT®, Advanced Placement® (AP®), and Pre-AP® are just a few. Our work falls broadly into four categories: College Readiness, College Connection &#x26; Success, Student Opportunities, and Advocacy. 
      
Benefits 
We offer our employees an outstanding benefits package that includes four weeks of paid time off, a generous retirement savings plan, tuition reimbursement, and ongoing professional development and training. 
Mission 
Clearing a path for all students to own their future. 
EEOC statement 
College Board is proud to be an equal opportunity employer. We’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

The College Board

Technical Architect

Summary
We started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. We’re dedicated to ensuring that that impact is a positive one.
We have enough funding to last for decades, and our backers include Y Combinator, researchers from OpenAI, Lightspeed, Threshold, and many others.
This role is about creating robust, well-engineered systems to support research into the fundamentals of intelligence and understanding, and helping to open source these tools so that other machine learning practitioners can take advantage of them as well.
About the role
<ul>
<li>You will work directly with one of our researchers, helping them to make more progress than they could on their own. This allows the two of you to find a working style that works great for both of you, whether that’s frequent pairing, where you can go off and finish blocking tasks that come up, or by working from top to bottom through a list of well defined tasks in Asana, where you can spend most of your time working independently and only sync when necessary.</li>
<li>You will work on a wide variety of tasks that are scoped to your interests and abilities. The types of tasks we have range from infrastructure and code clean up to open source and machine learning.</li>
<li>You will be free to work whatever hours work best for you, using whatever tools you’re most comfortable with.</li>
<li>You will be free from any other responsibilities beyond creating software. For this role there is no need to attend meetings, participate in activities outside of work, or anything else really. It’s just about helping your researcher by creating great software.</li>
</ul>
Example tasks
<ul>
<li>Open sourcing our internal tool which allows using your own editor (vim, pycharm, etc) to type into (and run) jupyter notebook cells.</li>
<li>Creating visualizations to understand the performance of a particular network on a particular dataset.</li>
<li>Tracking down a difficult bug that can cause a CUDA multi-process server to randomly hang</li>
<li>Developing linters and tools to programmatically enforce code quality.</li>
<li>Making a system of regression tests that back-test new models on old datasets, or ensure that data generation code still generates bitwise identical outputs.</li>
<li>Creating automated tools to detect and prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).</li>
<li>Extending our simulator to create new experimental settings and datasets.</li>
</ul>
About you
<ul>
<li>You are a highly talented software engineer who is comfortable working independently. We recognize that not all great software engineers are excited about the level of commitment that our full-time roles require, and we are happy to work with talented individuals who want more work-life balance.</li>
<li>You are interested in doing software engineering, and uninterested in attending meetings, talking about strategy, or much of the other work that often surrounds software engineering. You’re happiest when you have the context you need to write good software and are otherwise left alone.</li>
<li>You are excited about working on open source code, building high quality software, and following software engineering best practices.</li>
</ul>
About us
<ul>
<li>We believe in working with the absolute best people in the world (which is why we pay top of market)</li>
<li>We believe that it is possible to do great software engineering work without requiring that everyone involved be best friends, and make their job into their whole life, but that doing machine learning research really does require a lot more in terms of communication and closer personal relationships (which is why our machine learning research team is fully in person, but we’re able to support remote members via this role)</li>
<li>We believe that great software engineering talent comes in many shapes and colors and from many backgrounds and with many different demands on their time</li>
<li>We believe in building strong relationships (which is why this role is set up to be a direct relationship between you and a single one of our researchers, so that you can build a great working relationship)</li>
</ul>
How to apply
You can apply by submitting a resume <a href="https://generally-intelligent.breezy.hr/p/37984490dd0f-software-engineer-contract" target="_blank" rel="nofollow,ugc">HERE</a>. 
All submissions are reviewed by a person, so we encourage you to include a cover letter. If you have any work that you can showcase (open source code, a research paper, a side project, etc), you should certainly include it!
We try to reply either way within a week or two at most (usually much sooner).
We know that talent comes from many backgrounds, and with many different skills and preferences. That’s why we have a hiring process that gives you the ability to showcase yourself in a variety of different ways, depending on what feels best for you.

Generally Intelligent

Software Engineer (Contract)

Company Description
CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Supply Chain and Business Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.
Job Description
Job Responsibilities and Key Activities
·       Review and confirm requirements for Data Hygiene cleanup algorithm.
·       Document potential use cases for data cleanup, example: missing decimal point, wrong field, mismatched units, etc.
·       Analyze requirements and recommend a technical solution using Python and existing. Develop Python script to execute cleanups for identified documented use cases.
·       Unit test basic functionality of each use case. Iterative testing and tuning.
·       Incorporate feedback, as mutually agreed upon, into final solution build. Perform testing on sampled test datasets. Identify additional use cases if applicable from testing and incorporate into solution. Iteratively improve algorithm until success criteria is met.
·       Perform user acceptance testing (UAT).  
·       Create solution documentation, including functional and technical designs. Review solution documentation and walk through.
Must Have:
<ul>
<li>Python</li>
<li>Machine Learning</li>
</ul>
Qualifications
Nice-to-have Skills
<ul>
<li>DataRobot</li>
<li>Databricks</li>
<li>Paxata</li>
</ul>
Additional Information
All your information will be kept confidential according to EEO guidelines.
At CoEnterprise, we believe diversity drives innovation. We are committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of our business.  In recruiting for our team, we welcome the unique contributions that you can bring. We value employees for their differences represented by a variety of dimensions including demographics, behaviors, work style and perspectives.
We are an AA/EOE employer.

CoEnterprise, LLC

Data Scientist

<h2>About this job</h2>
Compensation: €60k - 80k 
Location options: Remote 
Job type: Full-time 
Experience level: Mid-Level 
Industry: Data &#x26; Analytics, SaaS, Web Technology 
Company size: 51-200 people 
Company type: Private 
<h2>Technologies</h2>
amazon-web-services, apache-spark, airflow, pyspark, amazon-redshift
<h2>Job description</h2>
Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East. While this is a remote position, we can not consider candidates that are not based in these regions. You can find a detailed explanation in our <a href="https://hotjar.atlassian.net/wiki/spaces/REC/pages/269942975/Recruitment+FAQs#Because-it%E2%80%99s-a-remote-job%2C-why-does-it-matter-what-time-zone-or-region-I%E2%80%99m-in%3F" target="_blank" rel="nofollow,ugc">Recruitment FAQs</a>.
At Hotjar, we’re building Behavior Analytics software for businesses selling online. We make it easy for them to go beyond traditional web analytics and understand what users are really doing on their site.
Reporting to our Data Engineering Lead, we're looking for enthusiastic and resourceful data engineers who are passionate about turning data into insights. You want to help teams make data-informed decisions and take data-informed actions, you have a curious mindset, and you are motivated to understand our business better.
You have a good understanding of data engineering stack, background in building ETL solutions. You have experience in data modeling in Data Lake and Data Warehouse as well as experience in working in projects driven by Data Quality metrics.
You will:
<ul>
<li>Take end-to-end responsibility for designing, building, and maintenance of batch data pipelines and data solutions.</li>
<li>Choose and manage tools and technologies to build and support a robust data infrastructure.</li>
<li>Be responsible for the data modelling and schema design of our data warehouse.</li>
<li>Identify bottlenecks and improve the performance of all our data pipelines.</li>
<li>Ensure all necessary monitoring and backup solutions are in place.</li>
</ul>
Requirements:
<ul>
<li>Experience developing ETLs and data pipelines using Apache Spark with PySpark library.</li>
<li>Experience with data modelling for data warehousing use-cases, design patterns, and building highly scalable and secure solutions.</li>
<li>Knowledge AWS Stack and Kubernetes</li>
<li>Knowledge about workflow management tools like Apache Airflow</li>
<li>Desire to work in a respectful, transparent, and collaborative work environment, following Hotjar’s <a href="https://hotjar.atlassian.net/wiki/spaces/REC/pages/269942884/Hotjar+Core+Values" target="_blank" rel="nofollow,ugc">company values</a>, <a href="https://careers.hotjar.com/" target="_blank" rel="nofollow,ugc">culture</a> and <a href="https://hotjar.atlassian.net/wiki/spaces/REC/pages/269779142/Working+at+Hotjar" target="_blank" rel="nofollow,ugc">ways of working</a>.</li>
<li>Must submit to a background check confidentially processed by our third-party.</li>
</ul>
Compensation Range:
The compensation range for this role is €60,000 to €80,000 annually. This was established after performing market research and is aligned with our approach to compensation. We encourage all candidates to read our <a href="https://hotjar.atlassian.net/wiki/spaces/REC/pages/269942975/Recruitment+FAQs#What-is-Hotjar&#x27;s-approach-to-Compensation%3F" target="_blank" rel="nofollow,ugc">Recruitment FAQs</a> to further understand our approach to compensation and how we structure our contracts.
In addition to the monetary compensation, we also provide all team members with an assortment of unique and popular <a href="https://hotjar.atlassian.net/wiki/spaces/REC/pages/158105691/Our+Perks" target="_blank" rel="nofollow,ugc">perks</a>.

Hotjar is a powerful product that reveals the online behavior and voice of a website’s users. By combining both analysis and feedback tools, Hotjar gives the ‘big picture’ of how to improve a site's user experience and performance / conversion rates. Our team work on the compelling challenges that come with large-scale web traffic and analytics, on a product that has a real impact on the thousands of users we support around the world. We work in an agile environment, 100% remotely, and actively encourage both personal and professional growth; always be learning is one of our core values.

Find out more about our product on our company site ([http://www.hotjar.com](http://www.hotjar.com)) and product roadmap (docs.hotjar.com/v1.0/page/roadmap).

Learn more about our company culture and what it's like to work at Hotjar on our careers site (careers.hotjar.com) and company blog ([http://www.hotjar.com/blog](http://www.hotjar.com/blog)).

Hotjar

We are looking for a talented Data Scientist to join our team at Prominent Edge. We are a small company of 24+ developers and designers who put themselves in the shoes of our customers and make sure we deliver strong solutions. Our projects and the needs of our customers vary greatly; therefore, we always choose the technology stack and approach that best suits the particular problem and the goals of our customers. As a result, we want developers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We want engineers who have an in-depth knowledge of Amazon Web Services and are up for using other infrastructures when needed. We understand that for our team to perform at its best, everyone needs to work on tasks that they enjoy. Most of our projects are web applications which and often have a geospatial aspect to them. We also really take care of our employees as demonstrated in our exceptional benefits package. Check out our website at <a href="http://prominentedge.com/" target="_blank" rel="nofollow,ugc">http://prominentedge.com</a> for more information and apply through <a href="http://prominentedge.com/careers" target="_blank" rel="nofollow,ugc">http://prominentedge.com/careers</a>.
Ideal candidates are those who can find value out of data.  Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes.  A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.
Required Skills
<ul>
<li>
Proficient in data preparation, exploration, visualization, and statistics
</li>
<li>
2+ years of experience with data science libraries in Python including Pandas, SciPy, Numpy, Matplotlib, and Scikit-learn, and TensorFlow
</li>
<li>
Experience using REST APIs to extract data
</li>
<li>
Familiarity with Amazon Web Services including S3, SageMaker, Lambda, and CloudWatch
</li>
<li>
Experience with SQL and NoSQL databases such as Postgres, Elasticsearch, MongoDB, or Redis
</li>
<li>
Ability to communicate data-driven insights to stakeholders with various technical backgrounds
</li>
<li>
Experience with techniques to detect and mitigate data quality issues such as outlier detection and imputation
</li>
<li>
Proficient with Git/Github
</li>
</ul>
Desired Skills
<ul>
<li>
At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
</li>
<li>
Deep understanding of Bayesian and frequentist statistics and experience with statistical tools such as Pymc3 and statsmodels
</li>
<li>
Strong software development skills and knowledge of best practices
</li>
<li>
Familiarity with decision analysis and related concepts such as the value of information
</li>
<li>
Experience with geospatial data
</li>
<li>
Solid understanding of a wide variety of supervised and unsupervised machine learning models and the tradeoffs between different modeling approaches
</li>
<li>
Active or ability to obtain any level of Security Clearance
</li>
</ul>
W2 Benefits
<ul>
<li>
Not only you get to join our team of awesome playful ninjas, we also have great benefits:
</li>
<li>
Six weeks paid time off per year (PTO+Holidays).
</li>
<li>
Six percent 401k matching, vested immediately.
</li>
<li>
Free PPO/POS healthcare for the entire family.
</li>
<li>
We pay you for every hour you work. Need something extra? Give yourself a raise by doing more hours when you can.
</li>
<li>
Want to take time off without using vacation time? Shuffle your hours around in any pay period.
</li>
<li>
Want a new MacBook Pro laptop? We'll get you one. If you like your MacBook Pro, we’ll buy you the new version whenever you want.
</li>
<li>
Want some training or to travel to a conference that is relevant to your job? We offer that too!
</li>
<li>
This organization participates in <a href="https://prominentedge.bamboohr.com/jobs/view.php?id=28" target="_blank" rel="nofollow,ugc">E-Verify</a>.
</li>
</ul>

Prominent Edge

JOB DETAILS
<ul>
<li>Remote</li>
<li>Competitive Salary</li>
<li>Generous Benefits</li>
<li>Not looking for a candidate from a large healthcare organization, needs to come from smaller company or start-up.</li>
</ul>
JOB SUMMARY
We are seeking a talented data scientist who has a passion for solving business problems by providing data insights through data modeling and analysis. This position works with senior leadership and data/technology teams to understand and solve complex business problems by developing data models and various techniques to analyze the health populations.
RESPONSIBILITIES
<ul>
<li>Derive insights from data analysis and modeling using multiple datasets, derived from the company platform, data provided by our customers, etc.</li>
<li>Develop a comprehensive profile of the patient/member using the data available.</li>
<li>Apply statistical techniques to understand health data and analyze outcomes</li>
<li>Apply data science algorithms and techniques to understand the member profile and prepare the data such that these insights help the care management team in addressing the needs of our customers and members.</li>
<li>Be part of the data team, collaborate with product and engineering teams in developing the data required to support the functionality and new features of our platforms</li>
</ul>
REQUIREMENTS
<ul>
<li>Minimum 4 years of experience in a professional healthcare data science experience do you have specifically creating models</li>
<li>Must come from Health Insurance org and have some publication or research writing experience</li>
<li>Needs experience working with a smaller organization or start up</li>
<li>Must be self-driven and a quick learner</li>
<li>Requires strong problem-solving, analytical, and communication skills.</li>
<li>Healthcare data experience (claims, groupers) is a plus.</li>
</ul>
TECHNOLOGIES
<ul>
<li>Data science: Analysis/Machine learning/AI algorithms and modeling</li>
<li>Data Platforms: Spark, Python/Scala</li>
<li>Strong SQL experience</li>
<li>Databases: Postgres, Microsoft SQL Server</li>
<li>Hosting: Microsoft Azure</li>
<li>Tools: Github, CircleCI, CodeClimate</li>
</ul>
Apply with Registry Ally now! 
Call: (424) 488-2577 
Email: <a href="mailto:jobs@registryally.com">jobs@registryally.com</a>

Registry Ally

SENIOR DATA SCIENTIST

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.
What you'll do
Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You will assist with building tools and technology to ensure that downstream customers can have faith in the data they're consuming. Based on the project, this might involve cross-functional work with the Data Science or Content Engineering teams to troubleshoot, process, or optimize our business-critical pipelines, or working with Core Platform to implement better processing jobs for scaling our consumption of streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data.
Benefits, Perks and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, &#x26; Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity &#x26; Inclusion training
• Learning &#x26; Development and Coaching programs
• Monthly Wellness, Connectivity &#x26; Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends &#x26; family
• Monthly inclusive multi-cultural celebrations &#x26; learning opportunities
Want to learn more? Check out our office and meet some of the team at <a href="http://www.linkedin.com/company/scribd/life" target="_blank" rel="nofollow,ugc">www.linkedin.com/company/scribd/life</a>
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Apply now and work remotely at Scribd

Who we are 
Founded in 2013, Thistle is an early-stage food-tech startup empowering our customers to get and stay healthy while improving our food system’s sustainability. We deliver delicious, organic, healthy, plant-forward meals, cold-pressed juices, and snacks to customers on the West Coast at the elusive intersection of convenience, health, and sustainability.
We don’t want to be just another food delivery startup. Our focus is on our customers’ health and happiness, and we are revolutionizing how fresh, nutritious, high-quality food is purchased, manufactured, and delivered at scale. Thistle is headquartered in San Francisco, and we are backed by some amazing investors in the Bay Area and beyond. We're headquartered in San Francisco, but we are excited to be building out a remote Data team. Candidates should be located within California, Oregon, Washington, Nevada, Arizona, Tennessee, or Maine.
About the Role
We are looking for an exceptional Senior Analytics Engineer to drive data quality and best practices throughout Thistle. This position will have the opportunity to collaborate with stakeholders across the company, enabling our growth through appropriate data metrics, validation, documentation, and tooling.
We understand that everyone is going to have strengths and weaknesses with regards to different aspects of this role. We encourage you to apply even if you feel some of the expectations would be challenging to meet!
Diversity, equity, and inclusion are essential values at Thistle. We know we'll do our best and most impactful work when we feel we're represented and we belong. We're proud to actively recruit and hire talented people from a wide variety of backgrounds and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  You can get some deeper insight into how we approach DEI, along with some statistics on the internal demographics of the company and leadership team, here: <a href="https://www.thistle.co/learn/thistle-thoughts/thistle-on-diversity-equity-and-inclusion" target="_blank" rel="nofollow,ugc">https://www.thistle.co/learn/thistle-thoughts/thistle-on-diversity-equity-and-inclusion</a>.
Apply now and work remotely at Thistle

Thistle

Analytics Engineer

Tuned helps active traders and passive investors power their portfolios with trading signals derived from quantitative strategies. 
We're looking for a Senior Software Engineer to join the team. This person will be working on a fast-growing and well-funded team comprised of seasoned talent with previous experience working at Facebook and Amazon.
As a Senior Software Engineer at Tuned you will…
<ul>
<li>Be a strong coder; regardless of which language you use or how you learned it, we’re looking for people who can write clean, effective code.</li>
<li>Enjoy collaboration with others - our work isn’t carried out in a vacuum, and everyone contributes to get the job done.</li>
<li>Understand that making mistakes means you’re learning.</li>
<li>Have a constant desire to grow and develop.</li>
<li>Be passionate about impact and care about great design, not only in their and their visual presentation but in your code and technical architecture as well.</li>
<li>Be comfortable in a high-paced environment, and can respond to urgent requests.
Want to work on things that make an impact on the world.</li>
</ul>
We’re looking for a Senior Software Engineer that has…
<ul>
<li>Extensive experience with Java, Kotlin, Rust or Python with 3+ years of software engineering experience.</li>
<li>A solid foundation in math, statistics, and computer sciences.</li>
<li>Enthusiasm for solving interesting problems and a deep data-driven curiosity.</li>
</ul>
Bonus points if you have...
<ul>
<li>AI/ML skills</li>
<li>Personal or professional experience with financial markets or cryptocurrency</li>
</ul>
What we offer:
<ul>
<li>Contribute to the creation and distribution of wealth</li>
<li>100% remote working and unlimited vacation</li>
<li>Equity in the business - ownership is a key value at Tuned and we want you to share in our long-term success</li>
</ul>
Founded by an ex-Facebook team and headquartered in Scottsdale, Arizona, Tuned powers traders in more than 20 countries, facilitates >$350m in transaction volume a month, and is integrated with trusted exchanges such as Coinbase, FTX, ByBit and Binance. For more information visit <a href="http://www.tuned.com" target="_blank" rel="nofollow,ugc">www.tuned.com</a>.
 Apply now and work remotely at Tuned Systems

Tuned Systems

Senior Software Engineer

Introduction to Shield AI
Shield AI’s mission is to protect service members and civilians with artificially intelligent systems. For our team, no idea is too ambitious. We work to make possible what looks out of reach today. We have assembled a high performing, empathetic team of people who proudly work on fulfilling our mission and living our values. Our culture of intelligent, kind and thoughtful teammates keeps work creative, stretching, and rewarding. We are backed by premier Silicon Valley venture capital investor Andreessen Horowitz and have started shipping product.
Job Description
Are you a passionate and innovative Staff Cloud Data Engineer with real world experience architecting big data pipelines? Are you eager to make a positive difference in the world?  Do you want to work alongside mission-driven and values-focused teammates?  Shield AI is just the place for you! 
As a Staff Cloud Data Engineer on our Web/Data team, you will design, build, and maintain Shield AI’s big data and cloud infrastructure. You are responsible for driving the architecture and creation of a scalable cloud data pipeline platform and you will play a critical role in the success of our company! 
If you're interested in being part of an engineering team that works hard, loves to have fun, and is working on some truly meaningful, challenging work; apply now and we can chat further!
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
To conform to U.S. Government regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 Apply now and work remotely at Shield AI

Shield AI

Staff Cloud Data Engineer

About the job
DEXMA is a SaaS company based in Barcelona. Our software tackles one of the world's hardest challenges: sustainable energy usage. Our customers provide us with millions of building energy readings every day, which we analyse in real time and help them increase their overall efficiency, thus helping the planet.
We are hiring a data scientist interested in Machine Learning and Software development to join our team.
**The role**
The ideal candidate must be able to juggle multiple responsibilities, be comfortable in developing cutting-edge machine learning and statistical algorithms as well as have the ability to switch contexts between research literature searches, rapid algorithmic prototyping, as well as assisting in code testing and deployment with the development team.
Your day-to-day will also involve developing prototypes and participating in the development of new product features using agile methodologies, trying to solve our customers' problems and figure out how to improve their daily life.
You'll be part of our multidisciplinary team that is composed of several roles/skills: Data Scientists, Energy Engineers, Software Developers, Customer Success Engineers and Product Owner.
About you
<ul>
<li>You have out-of-the-box, critical and analytical thinking</li>
<li>You like to be involved in reasoning out your thoughts based on your experience and your learnings with your team</li>
<li>You care about product, you have a passion for doing things that you are proud of</li>
<li>You would be proud of fighting climate change with your job</li>
</ul>
Required skills
<ul>
<li>Completed/ongoing degree or master in Data Science, Computer Science, Statistics, Mathematics or related studies</li>
<li>Experience in any programming language (Python, R, …)</li>
<li>Fluent in  English </li>
</ul>
Desirable skills
<ul>
<li>Database querying (SQL) languages</li>
<li>Statistics, machine learning and/or operations research background</li>
<li>Knowledge of analytic methodologies including data analysis, model &#x26; feature selection, optimisation algorithms, neural networks, clustering/classification and/or signal processing</li>
<li>Knowledge of the energy sector</li>
</ul>
What do we offer?
<ul>
<li>Paid part-time internship</li>
<li>You can combine remote, office work or your own hybrid. Family and health first</li>
<li>Possibility to develop your degree/master thesis</li>
<li>Possibility to promote </li>
<li>Be part of an international, young and passionate about sustainability team</li>
<li>Flexible working hours</li>
<li>To feed our thoughts, each of us have “innovation time” to explore new tools and ideas (10% of our work time)</li>
<li>Company events (BBQ, outdoor activities...) and sponsored courses</li>
</ul>
How is this hiring process going to be?
<ul>
<li>After your application, we will review your CV and why you would like to join DEXMA</li>
<li>Short call (15-20 min) to meet you</li>
<li>(Optional) Technical test, so you can show us how you would solve a real problem</li>
<li>Face-to-face meeting with our Data Scientists and Product Owner</li>
<li>Final offer</li>
<li>Onboarding process</li>
</ul>
Ready to grow with us? Apply and we'll get in touch with you soon ;) Let's help the planet!

DEXMA

<h2>About this job</h2>
Compensation: Equity 
Location options: Remote 
Job type: Full-time 
Experience level: Mid-Level, Senior 
Role: Data Scientist 
<h2>Technologies</h2>
machine-learning, data-science, pandas, python, amazon-web-services
<h2>Job description</h2>
ABOUT THE ROLE
The Machine Learning Data Scientist will join a team of engineers innovating new techniques for applying Artificial Intelligence, Machine Learning, and data analytics techniques to transform unstructured images and files into financial data sets.
The Machine Learning Data Scientist’s responsibilities will include:
<ul>
<li>Develop machine-learning models, services, and modules for document classification and information extraction</li>
<li>Build pipelines and processes for model development, experimentation and scaled production scoring</li>
<li>Identify and develop new modeling techniques and/or technologies to complement existing ML processes and improve extraction rates and confidence</li>
<li>Measure, improve, and validate confidence scores through rigorous and continuous testing</li>
<li>Improve verification and validation functionality</li>
<li>Apply machine learning and data science techniques and design distributed systems</li>
</ul>
SKILLS AND EXPERIENCE
<ul>
<li>Bachelor’s Degree in Computer Science or Engineering</li>
<li>3+ years software development experience in a professional work environment</li>
<li>Strong software engineering background with emphasis in data science and machine learning</li>
<li>Experience in some of the following ML frameworks: Tensorflow, pandas, pytorch, xgboost, numpy, keras, scikit-learn, dask, spark</li>
<li>Demonstrable knowledge and understanding of Statistics and Deep Learning concepts</li>
<li>Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability</li>
<li>Understanding of how components and processes work together and communicate with each other using library calls, RESTful APIs queueing/messaging systems and database queries</li>
<li>Familiar with SQL, and able to create/perform basic queries</li>
<li>Fluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)</li>
<li>Familiarity with AWS cloud services</li>
<li>Strong interpersonal communications skills (verbal, presentation, and written)</li>
</ul>
WHAT WE OFFER
<ul>
<li>High energy atmosphere of an AI-driven FinTech scaleup that has great traction towards global success and already serves clients across four continents, including Fortune 500 companies. And we are just getting started!</li>
<li>We value education and professional development and offer opportunities for our employees to grow and learn in their roles and within the industry</li>
<li>Enjoyable working environment: A diverse international team of techies, dog lovers, globetrotters, and musicians. We offer flexible PTO and a generous benefits package, and highly value independence. Our team enjoys spending time together with fun virtual activities and we look forward to re-establishing face to face events soon!</li>
</ul>
Itemize is an Equal Opportunity Employer. Itemize does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by applicable law. All employment is decided on the basis of qualifications, merit, and business need.

_ABOUT ITEMIZE_

Itemize is a leading AI company that transforms financial documents into valuable and efficient information sets for business systems. We harness AI to transform unstructured and semi-structured data in purchase documents, such as invoices and receipts, into structured data for accounts payable and accounting systems.

Our intelligent document processing technology empowers financial teams to focus on higher-value activities by liberating them from laborious and costly data entry and reconciliation tasks, which remain manual processes.

Itemize operations are cloud-based, with a fully remote team distributed nationwide. The company runs on an East Coast schedule. We welcome people who enjoy the challenge of a fast-paced high-growth environment on the leading edge of B2B SaaS technology.

Itemize

Machine Learning Data Scientist at AI FinTech

We are on a mission to make science open so everyone can live healthy lives on a healthy planet
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA).
We are seeking a Data Scientist with expertise in predictive and prescriptive analytics to join our AI Products Team and help us evolve AIRA. This is a unique opportunity to leverage statistics and data analytics to increase the quality of published science, maximize the efficiency of the publishing process and make peer-review more objective.
Our office is located in Kraków, however remote working options are available for candidates across Poland.
 
Your Main responsibilities:
<ul>
<li>Contribute to different initiatives involving descriptive, predictive, and prescriptive analysis by leveraging a variety of statistical techniques (such as regression analysis, hypothesis testing , survival analysis, principal component analysis)</li>
<li>Provide analysis of trends and forecasts and recommend actions for optimization</li>
<li>Identify patterns, build models, and test and improve predictive algorithms that increase our understanding of customer trends and identify opportunities to improve our products and services</li>
<li>Collaborate with product managers, data scientists and business stakeholders</li>
<li>Proactively identify opportunities for improvements in data quality, data visualization and data reporting for AI</li>
</ul>
Required Skills:
<ul>
<li>
Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
</li>
<li>
Experience with statistical modeling techniques (e.g. linear regression, logistic regression, GLM), forecasting and predictive modelling
</li>
<li>
Working knowledge in one or more statistical programming languages (e.g. SAS, Python, or R)
</li>
<li>
Experience with data visualization and graphics tools such as Tableau is a plus
</li>
<li>
Familiarity with big data platforms (e.g. Spark, Databricks) is a plus
</li>
</ul>
What we Offer
With over 50 nationalities across seven locations around the world, we are certainly a diverse company. You will have the opportunity to work with teammates in other offices, as well as with researchers, editors, and authors from across the globe.
Key Benefits
<ul>
<li>26 annual leave days + 4 well-being days</li>
<li>Participation in the annual company bonus scheme</li>
<li>Flexible working framework and remote working opportunities across Poland</li>
<li>Extensive learning opportunities through our Pluralsight and LinkedIn Learning partnership</li>
<li>3 volunteer days through our online platform</li>
<li>Access to Headspace app</li>
<li>Online Yoga classes</li>
</ul>
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher.
We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than 1 billion views and downloads and 2 million citations. Our journals span science, health, humanities and social sciences, engineering, and sustainability. And we continue to expand into new academic disciplines so more researchers can publish open access.
Be part of the publishing revolution and help us transform the way research is published, evaluated, and communicated to the world.
Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With over 600 employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.

Frontiers

Data Scientist (AI Products Team)

<h2>About this job</h2>
Location options: Remote, Visa sponsor, Paid relocation 
Job type: Full-time 
<h2>Technologies</h2>
big-data, sql, python
<h2>Job description</h2>
Who are Opensignal?
Opensignal, a mobile analytics company, is the global standard for measuring real-world mobile network experience. Using billions of measurements collected 24/7 from tens of millions of smartphones, we analyse real-world mobile network experience at the largest scale and frequency in the wireless industry. We believe measuring how the network performs directly through users’ eyes is key to building better wireless networks. Our insights are used across the industry by mobile operators, telecoms regulators, equipment manufacturers and analysts. We have done business across six continents and have driven press headlines in 80 countries, in an industry impacting the lives of billions around the world.
Founded in 2010, Opensignal is a high-growth global company harnessing the power of mobile technologies and big data analytics to redefine how the mobile industry measures network performance. We’re part of the<a href="https://www.globaltelecomsbusiness.com/article/b14xj0qzzyc34x/gtb-announces-power100-for-2017" target="_blank" rel="nofollow,ugc">Global Telecoms ‘Power 100’</a>, <a href="https://futurefifty.com/26-late-stage-uk-tech-companies-join-future-fifty-6/" target="_blank" rel="nofollow,ugc">TechCity Future Fifty</a>, and backed by an impressive portfolio of investors.
We're headquartered in London, UK, where you’ll find most of our employees, but the teams you'll work with are global. A truly international team, our ‘Opensignalers’ work across four continents, and represent over 25 nationalities.
Find out more by visiting our <a href="https://www.opensignal.com/about/about-us" target="_blank" rel="nofollow,ugc">website</a>.
Purpose of the role
We’re looking for a Senior Data Engineer to join our Metrics Squad in transforming our real-world raw data into valuable and credible industry leading metrics that provide insights to our analysts and our customers. You would be joining the team at a critical time as 5G begins to roll out across the globe and we lead the analysis into what this experience really looks like for real users.
As a Senior Data Engineer, you will be responsible for:
The creation and computation of our metrics. Working closely with our data scientists and our data engineers to create the metrics that are responsible for the pipeline that translates our raw data into usable insights that drive our business.
As well as driving the creation of new 5G metrics, we are also looking at ways to optimise our pipeline and keep our tech stack fresh.
We expect our Data Engineers to:
<ul>
<li>Own and improve our data pipeline. Assemble large, complex data sets that meet business requirements, with engineering best practices in mind.</li>
<li>Champion building scalable and resilient data infrastructure, as well as tools to extract and transform data used by stakeholders and customers.</li>
<li>Be sensitive to GDPR concerns for data within the platform.</li>
<li>Have a continuous improvement mindset when it comes to both the platform and the process.</li>
<li>Work efficiently, automate manual processes where possible and take a test driven approach to engineering.</li>
<li>Take a keen interest in improving the platform’s scalability while understanding the cost.</li>
<li>Be a good team player, with an agile approach and a can do attitude.</li>
<li>Keep yourself current and make sure we follow best practices and engineering standards.</li>
<li>Be an advocate for the platform and its health. Take ownership of your work from conception through to support.</li>
<li>Be detail orientated and understand the importance of the credibility of our metrics. Document and communicate with stakeholders in a language understood by all.</li>
<li>Can work in a fast-paced environment with an ability to shift priorities and focus with changing requirements and market demands</li>
<li>Able to coach and mentor Data Engineers in best practices</li>
<li>Cross-collaborate with the wider team to drive and maintain high standards in our data pipeline builds</li>
<li>Comfortable and effective at working in a remote capacity, collaborating with team members across different locations through digital channels</li>
</ul>
Benefits
<ul>
<li>Competitive salary, company bonus and stock options to share our growth</li>
<li>If based in the UK, you will also receive these benefits: Matched-contribution based pension scheme, private healthcare (including wellbeing subscriptions and discounted gym membership), life insurance, 25 days holiday per year, enhanced parental leave and cycle to work scheme offering.</li>
<li>MacBook of your choice and equipment to support your home office</li>
<li>£1000 learning budget with access to a learning platform providing access to thousands of opportunities to spend it on – from conferences to courses and training, and regular 'Opensessions' (internal learning talks)</li>
<li>Constant exposure to learning opportunities in your role and the ability to make an impact from day one</li>
<li>Our 'Opensignalers' - an ambitious, focused and friendly team backed by some of Europe's top investors</li>
<li>Regular all-company virtual events – from team lunches, ‘Openclubs’ (from our book club to photography club), regular company town halls and socials)</li>
<li>Due to the pandemic we are working remotely, but do have a HQ office space available in Angel London available to use if needed. We are flexible on the location for this role.</li>
</ul>
To understand how we will be holding your information please take a look at our <a href="https://www.opensignal.com/sites/opensignal-com/files/recruitment_privacy_policy.pdf" target="_blank" rel="nofollow,ugc">Recruitment Privacy Notice</a>.
<h2>Skills &#x26; requirements</h2>
What we need from you
As a Data Engineer we would expect you to have previous experience in manipulating, processing, storing and extracting value from big data.
<ul>
<li>Experience with big data tools, specifically Apache Spark.</li>
<li>Experience with relational SQL databases. Prior experience with Postgres or desirably, AWS Athena (Presto).</li>
<li>Experience with SQL query authoring.</li>
<li>Experience with data pipeline / workflow tools i.e. Apache Airflow.</li>
<li>Experience with AWS cloud services like EC2, S3, managed Kubernetes and Aurora.</li>
<li>Experience with object-oriented/object function scripting languages: Python and desirably Scala.</li>
<li>Experience in writing tests, especially in BDD style and working with Git.</li>
<li>Strong analytic skills in working with unstructured datasets.</li>
<li>Experience in root cause analysis of data when asked to answer specific business questions.</li>
<li>Experience building and optimising 'big data' data pipelines.</li>
<li>Experience supporting and working with cross-functional teams.</li>
<li>Strong self-organisational skills</li>
<li>Experience being part of a cross functional team, using agile methodologies.</li>
</ul>

Opensignal, a mobile analytics company, is the global standard for measuring real-world mobile network experience. Using billions of measurements collected 24/7 from tens of millions of smartphones, we analyze real-world mobile network experience at the largest scale and frequency in the wireless industry. We believe measuring how the network performs directly through users’ eyes is key to building better wireless networks. Our insights are used across the industry by mobile operators, telecoms regulators, equipment manufacturers and analysts. We have done business across six continents and have driven press headlines in 80 countries, in an industry impacting the lives of billions around the world.

Founded in 2010, Opensignal is a high-growth global company harnessing the power of mobile technologies and big data analytics to redefine how the mobile industry measures network performance. We’re part of the[Global Telecoms ‘Power 100’](https://www.globaltelecomsbusiness.com/article/b14xj0qzzyc34x/gtb-announces-power100-for-2017), [TechCity Future Fifty](https://futurefifty.com/26-late-stage-uk-tech-companies-join-future-fifty-6/), and backed by an impressive portfolio of investors.

We're headquartered in London, UK, where you’ll find most of our employees, who we like to call 'Opensignalers', but the teams you'll work with are global. A truly international team, our ‘Opensignalers’ work across four continents, and represent over 25 nationalities.

Find out more by visiting our [website](https://www.opensignal.com/about/about-us)

Opensignal

Senior Data Engineer

<h2>About this job</h2>
Location options: Remote 
Job type: Full-time 
Experience level: Mid-Level, Senior 
Industry: Media, Music, podcasts 
Company size: 5k-10k people 
Company type: Public 
<h2>Technologies</h2>
java, scala, apache-spark, apache-beam, spotify-scio
<h2>Job description</h2>
In Spotify's Composer product area we combine state-of-the art backend services with groundbreaking data processing tools to solve problems in the finance domain through engineering. We are looking for senior software engineers who are passionate about data to focus on building structured, high-quality data solutions. These implementations will be used to support our systems capable of handling the financial reporting and insights for all of Spotify’s current and future revenue streams. Using tools like BigQuery, Dataflow, Apache Beam we process millions of subscription and payment related events on a daily basis to keep track of sales, revenue and cash in the 80+ markets where Spotify is available. We also make use of and contribute to in-house built data tools such as <a href="https://github.com/spotify/scio" target="_blank" rel="nofollow,ugc">Scio</a>, a Scala API for Apache Beam and <a href="https://github.com/spotify/luigi" target="_blank" rel="nofollow,ugc">Luigi</a>, an orchestration framework for data pipelines.
Who you are
<ul>
<li>BS/MS in CS or other relevant fields of study</li>
<li>3+ experience with designing and building highly scalable data solutions</li>
<li>You don’t like leaving questions unanswered and you love exploring/understanding data</li>
<li>You care about agile software processes, data-driven development, reliability, and testability.</li>
<li>You are passionate about crafting clean code and have a steady foundation in coding and building data pipelines</li>
<li>You love visualising your data findings in a clear and easy to understand way and to capture corner cases of implementations</li>
<li>You are interested in being the glue between engineering and finance</li>
</ul>
What you'll do
<ul>
<li>Explore new ways of producing, processing, and analysing data in order to gain insights into key metrics such as revenue and cash</li>
<li>Design, develop, and test data-driven products and features that can handle millions of financial events per day</li>
<li>Work with state-of-the-art data processing frameworks, technologies, and platforms</li>
<li>Improve data quality through testing, tooling and continuously evaluating the performance</li>
<li>Work with other software engineers, business stakeholders and decision-makers, such as product managers, to build solutions and gain novel insights</li>
<li>Act as the bridge between our technology and finance departments and reinvent outdated, monolithic financial processes</li>
<li>Work in multi-functional agile teams with end-to-end responsibility for product development and delivery</li>
<li>Work from our awesome Stockholm HQ's</li>
</ul>
Where you'll be
<ul>
<li>We are a distributed workforce enabling our band members to find a work mode that is best for them!</li>
<li>Where in the world? For this role, it can be within the <a href="https://spotifyjobs.com/work-by-region" target="_blank" rel="nofollow,ugc">EMEA</a> region in which we have a work location</li>
<li>Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options <a href="https://spotifyjobs.com/work-from-anywhere" target="_blank" rel="nofollow,ugc">here</a>.</li>
<li>Working hours? We operate within the CET time zone for collaboration</li>
</ul>
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.

Today, Spotify is the most popular global audio streaming service with 286m users, including 130m subscribers across 79 markets. We are the largest driver of revenue to the music business today.

Spotify

Senior Data Engineer - Composer (Remote Eligible - EMEA)

<h2>About this job</h2>
Location options: Remote 
Job type: Full-time 
Experience level: Mid-Level, Senior, Lead 
Role: Data Scientist 
Industry: Information Technology, Logistics and Supply Chain 
Company size: 1k-5k people 
Company type: Private 
<h2>Technologies</h2>
python, machine-learning, pandas, sklearn-pandas
<h2>Job description</h2>
At Transporeon we embrace transformation and change in total sync with one another. We rethink, reinvent and rework ideas from one moment to the next – as many times as is necessary to get the job done right. That’s how we respond to the new challenges that we face each and every day. And regardless of whether you are just starting your career or are already a pro – we believe you can be the transformation. Are you ready?
You are ready, if you ...
<ul>
<li>want to share our passion for mixing logistics spot market data science with behavioral science to create a unique software for market advantage of our customers</li>
<li>would feel comfortable working in fully remote distributed team, 100% from home-office</li>
<li>have established background in mathematics or statistics, advanced computing, and software</li>
<li>engineering</li>
<li>have experience with statistical and predictive modeling, data exploration and visualization with Python, typical Python libraries for machine learning (pandas, sklearn,</li>
<li>etc.) and tree-based learning algorithms</li>
<li>feel confident in data versioning and tools for reproducible ML (e.g. DVC is nice to have)</li>
</ul>
Our TNX team is ready and waiting with ...
<ul>
<li>challenging tasks in development of new models and optimization of existing ones which improve business goals and customer profitability; such as price estimation, carrier response and relevancy predictions</li>
<li>possibility to explore, design, implement and support new data sources for the predictive models</li>
<li>close collaboration with back-end engineers on moving models into production systems</li>
<li>open ears to hear your ideas how to improve and build trust in our models' predictions</li>
<li>a quickly growing team with potential for your professional and personal development</li>
<li>friendly recruitment process giving you a chance to get to know us as well as show your knowledge and skills</li>
</ul>
Possible Locations:
Germany, Poland, USA, Singapore, Russia, France, Italy, Spain, Netherlands, UK, Austria, Denmark, Sweden, Latvia, Finland, Slovakia, New Zealand

At Transporeon, our mission is to bring transportation in sync with the world. Because the transportation industry in many areas lags behind what happens in our digital, transparent, data-driven and increasingly sustainable world. Around 30% idle capacity, millions of empty runs on our streets, long waiting times at ports, docks and airports and broken information and communication flows are the consequence. A problem that is big but that can be solved and one that we are deeply in love with.

We use technology, or more precisely, connectivity, data and real-time insight to solve the problem. Every day we support our amazing clients with excellent customer service and a highly functional, innovative and reliable cloud-platform. This result is only possible with an amazing team of more than 1000 people. We bring Transporeon forward every day with our knowledge, skills, commitment and finally every one of us with your very own transformation.

With your passion, your desire to discover new things and help us solve the complex challenges we are curiously dealing with every day, you can transform too – the world around you and yourself. Regardless of whether you are just starting your career or already a pro - You are the transformation.

Transporeon GmbH

TNX Logistics Data Scientist (f/m/d), 100% remote, multiple locations

<h2>About this job</h2>
Compensation: Equity 
Location options: Remote, Paid relocation 
Job type: Full-time 
Experience level: Senior 
Role: Data Scientist 
Industry: Media, Music, podcasts 
Company size: 5k-10k people 
Company type: Public 
<h2>Technologies</h2>
python, sql
<h2>Job description</h2>
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify. We're looking for a Senior Data Scientist to join Spotify's Data Foundations team. In Data Foundations, the solutions we build impact hundreds of Spotify engineers and data scientists, and thousands of daily data processing jobs: ultimately the user experience of hundreds of MILLIONS of users via more data-informed recommendations and user-experience! As a Senior Data Scientist you will help drive a data-first culture across Spotify, working with a hardworking group of engineers and product managers to develop a detailed understanding of our data ecosystem and develop new strategies for measuring and visualising how data works at Spotify.
What You' ll do
<ul>
<li>Work closely with a cross-functional, geographically distributed team of data scientists, user researchers, product managers, designers and engineers across New York, Stockholm and London.</li>
<li>Define metrics and build and analyze dashboards, reports and key datasets to drive data-informed product development.</li>
<li>Apply thorough analysis to understand and detail sophisticated workflows, data flows and processes.</li>
<li>Communicate insights and recommendations to key partners, helping to activate data standard methodologies in Data Foundations, and more broadly in the data, insights and engineering communities across all of Spotify.</li>
<li>Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.</li>
<li>Work from our offices in New York (With the current situation regarding COVID-19, this role will be remote until it's appropriate to work from the office).</li>
</ul>
Who you are
<ul>
<li>You have significant professional experience, and a degree in statistics, mathematics, computer science, economics or another quantitative subject area.</li>
<li>You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and guiding others.</li>
<li>You know how to seek loosely defined problems and come up with meaningful answers and impactful insights.</li>
<li>You have an understanding of how to instrument products to accurately collect user and system behaviors through data for a wide variety of insight and product development use cases.</li>
<li>You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.</li>
</ul>
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.

Senior Data Scientist - Data Foundation

Job Summary
In the world where data is more valuable than oil, companies that utilize and harvest the best data tend to have a statistically significant advantage against the competition. In eCommerce, data is paramount and luckily readily available to be digested. Our Data Scientist position will help lead the company into the future by building one of the most important departments in this explosive growth company.  If eCommerce is the future, Neato wants to predict it. You will work directly with our Head of Business Intelligence/Data Science to carve out a path to digital success using data. We are looking for a committed, entrepreneurial, growth minded data scientist to complete this task.
Roles and Responsibilities 
As a data fanatical company, we rely on multiple data streams to help make better decision for our partnered brands on Amazon. Your responsibility is to build out our core data pipelines to ensure timely and accurate information gets in the hands of key decision makers. Once data is digested and organized you will help pave the way to advanced analytics and reporting, creating machine learning algorithms to make the business run smoother and more efficient, present data to brands, and will always be figuring out ways to harvest new data. Our Data Scientist will have a passion for machine learning and will work with our tool sets to help drive the companies already explosive growth. Neato takes a “Brand Partner First” mentality so the Data Scientist will be working closely with our brand partners to figure out the insights they’re looking for to achieve quantifiable growth in their marketplace-based eCommerce endeavors.
 ***NOTE this role will require someone with a strong background in Object Oriented programming (Java/Python/C#). This is NOT an Analyst role (Although Data analysis will be part of the role). This is not a Recent Grad role ***
Qualifications:
<ul>
<li>MS in Computer Science or closely related field.</li>
<li>Solid Professional background in Software Engineering with a focus on Object Oriented, Back End Development required</li>
<li>Strong analytical and research skills demonstrated through publications in reputed conferences/journals or supporting demonstration of innovation.</li>
<li>Familiarity with predictive models/search/recommendation/classification applications and domains will be a plus.</li>
<li>4+ years Python/Java/C#/R experience.</li>
<li>Experience with Natural Language Processing</li>
<li>Experience with Amazon Selling (MWS, SP-API)</li>
<li>Excellent problem-solving skills.</li>
<li>Processing large datasets, data mining, machine learning, and information retrieval expertise is preferred.</li>
<li>Experience with AWS Cloud Platform (Athena, Glue, Redshift, RDS)</li>
</ul>
Expected experience:
<ul>
<li>M.S. – at least at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.</li>
<li>Experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related is a plus.</li>
<li>Experience with site experimentation (A/B testing) is a plus.</li>
<li>Enthusiastic collaboration and effective communication are essential.</li>
</ul>

Neato

Machine Learning Data Scientist for a Rapidly Growing eCommerce Company

At Optiv, we’re on a mission to help our clients make their businesses more secure. We’re one of the fastest growing companies in a truly essential industry.
In your role at Optiv, you’ll be inspired by a team of the brightest business and technical minds in cybersecurity. We are passionate champions for our clients, and know from experience that the best solutions for our clients’ needs come from working hard together. As part of our team, your voice matters, and you will do important work that has impact, on people, businesses and nations. Our industry and our company move fast, and you can be sure that you will always have room to learn and grow. We’re proud of our team and the important work we do to build confidence for a more connected world.
Who are we looking for:
As Data Scientist at Optiv you will make a difference for our clients by designing, evaluating, and deploying into production analytics solutions. You will work daily on applying your technical skills, analytical mindset, and business intuition on our clients’ largest data challenges. You may develop innovative new business analytics, train advanced machine learning models, or coach management on steps to strengthen their own data science capabilities. Your technical skills will help our clients to be successful through collaboration and experimentation. You will join a team of highly skilled and experienced big data professionals who work with the latest tools, technologies, and approaches. 
If you are seeking a culture that supports growth, fosters success and moves the industry forward, find your place at Optiv! As a market-leading provider of cyber security solutions, Optiv has the most comprehensive ecosystem of security products and partners to deliver unparalleled services. Our rich and successful history with our clients is based on trust, serving more than 12,000 clients of varying sizes and industries, including commercial, government and education. We have the proven expertise to plan, build, and run successful security programs across Risk Management, Cyber Digital Transformation, Threat Management, Security Operations - Managed Services and Identity and Data Management.
With Optiv you can expect:
• A company committed to championing Diversity, Equality and Inclusion through Affinity groups including but not limited to, Women's Network, Optiv Pride, Black Employee Network, and Veterans Support Network.
• Work/life balance. We offer “Recharge” a flexible, time-off program that encourages eligible employees to take the time they need to recharge
• Professional training resources, including tuition reimbursement
• Creative problem-solving and the ability to tackle unique, complex projects
• Volunteer Opportunities. “Optiv Chips In” encourages employees to volunteer and engage with their teams and communities.
• The ability and technology necessary to productively work remote/from home (where applicable)
Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, status as an individual with a disability, veteran status, or any other basis protected by federal, state, or local law.
Apply now and work remotely at Optiv

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TNX Logistics Data Scientist (f/m/d), 100% remote, multiple locations

Senior Data Scientist - Data Foundation

Machine Learning Data Scientist for a Rapidly Growing eCommerce Company

Senior Consultant Data Scientist CDX I USA Canada