715 open roles · average listed pay $181k · 235 new this week · 191 remote
Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities. Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value.
We’re looking for a product data scientist to help OpenAI create more value and drive sustainable growth for young people, families, and learners.
This role is responsible for providing analytical support for the Second Line oversight of Buy Now Pay Later products, including their Underwriting and Account Management practices, ensuring that the portfolio is properly managed and is operating according to strategic goals…
We’re looking for a Senior Data Scientist to join the Revenue & Risk Analytics team. You’re experienced at developing strategic recommendations grounded in data to scale, drive, and recover revenue.
In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act…
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
Develop a deep understanding of the live events business and how supply dynamics drive marketplace health. Partner with stakeholders on the Supply, Product, and Engineering teams, understanding their objectives and defining an analytics roadmap to support those goals.
Develop a deep understanding of the live events business and how supply dynamics drive marketplace health. Partner with stakeholders on the Supply, Product, and Engineering teams, understanding their objectives and defining an analytics roadmap to support those goals.
Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.
Own the dbt models and data marts that power Marketing analytics, activation, and reporting. Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders.
Audit the current Segment inventory, consolidate duplicates and naming drift, and establish a governed object-action naming convention. Build and maintain the tracking plan, keeping it to a navigable size, and deprecating events deliberately as the product changes.
Capital One · 29d ago
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack.
We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini.
OpenAI · 1mo ago
We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production.
Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data.
Design and implement scalable data architectures that support multiple software platform initiatives. Integrate data across software telemetry, hardware platforms, AI workloads, validation systems, engineering tools, benchmarking environments, and business systems.
We are seeking a Manager of Payments Data Science and Analytics to lead our work in Financial Services. This role focuses on enabling payments cost savings and revenue growth within Product and Business domains.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
As a Data Scientist on the Digital Experience Insights team, you'll lead high-impact analytics initiatives, turning complex data, platform, and time-series data into rigorous predictive models, causal inferences, and strategic product metrics.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic.
Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance.
The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics.
The Data Scientist, Product Growth and Experimentation will help drive decision making in support of our Product Led Growth function. This role sits at the intersection of Data, Product, Growth, and GTM.
As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization.
Marketing Science sits within Upstart's Growth, Product, and Ops Analytics team and partners with growth marketing on every channel that brings borrowers to Upstart: direct mail, paid search and social, video, mobile, email, brand campaigns, and lending partnerships.
Praxis is seeking a Senior Data Scientist to build and deploy the models, data products, and digital tools that help us develop drug substance and drug product processes, as well as the packaging and labeling that gets them to patients quickly and correctly the first time.
We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized.
As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding.
We’re looking for a commercially minded, technically strong individual contributor to join our Business Intelligence team at Cuvva. You’ll report to BI Management, working on some of the most interesting data and analytical problems across our insurance business.
| Level | Median | Listings |
|---|---|---|
| Mid level | $212k | 7 |
| Senior | $173k | 221 |
| Lead / Staff | $185k | 22 |
Companies hiring: Capital One (83), OpenAI (18), Jobgether (12), Anthropic (11), Roblox (10), Pinterest (8).
Skills in current listings: Python (58), Airflow (22), Dbt (19), AWS (10), Aws (9), Azure (8), Java (8), Terraform (5), Gcp (4), GCP (4), Kafka (4), Mongodb (4).
