As a Senior Data Scientist, you'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

Increasingly, you'll use AI-assisted tools to accelerate analysis, coding, and insight generation. You'll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You'll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.

Key responsibilities include:

• Partnering with product teams to help them identify important questions and answer those questions with data
• Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities
• Designing, building, and updating end-to-end data pipelines
• Partnering closely with product researchers to build a holistic understanding of our customers, products, and business
• Using AI-assisted tools to accelerate analysis, coding, and insight generation
• Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Building scalable data products that enable stakeholders to self-serve insights

Requirements include:

• 5+ years of experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen, and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity, and growth mindset
• Experience with a scientific computing language (e.g., Python)

Preferred skills include:

• Experience with data modeling and ETL pipelines (esp. dbt)
• Experience building internal tools, data products, or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits include:

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow

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As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You will also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

You will influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&D and the broader company.

You will drive and shape core RAD foundations and help us improve how the RAD org operates.

We are looking for someone with 5+ years of experience working with data to solve problems and drive evidence-based decisions. You should have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.

Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.

Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.

We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave are also part of our benefits package.

Our working policy is hybrid, with employees expected to be in the office at least three days per week. We have a radically open and accepting culture, avoiding divisive subjects to foster a safe and cohesive work environment for everyone.

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