Senior Data Scientist
Partners with product teams to use statistical analysis, data pipelines, and quantitative research to guide product strategy and measure outcomes. The role requires 5+ years of experience, strong SQL and Python skills, product intuition, and growing proficiency with AI-assisted workflows.
About the job
Responsibilities
- Partner with product teams to identify important questions and answer them with data.
- Work with product managers, designers, and engineers to develop product success metrics, set targets, measure results and outcomes, and size opportunities.
- Design, build, and update end-to-end data pipelines while driving the collection of new data and refinement of existing sources and tables.
- Partner with product researchers to build a holistic understanding of customers, products, and the business.
- Influence product roadmaps and strategy through exploratory analysis and quantitative research.
- Use AI-assisted tools such as Claude Code and Cursor to accelerate analysis, coding, and insight generation.
- Automate workflows and build scalable data products, including dashboards, models, and internal tools.
- Improve stakeholder access to data through abstractions, semantic layers, or AI-powered interfaces.
- Establish AI usage patterns, workflows, and best practices within RAD.
- Communicate clear data stories and recommendations across R&D and the broader company.
- Contribute to RAD foundations and improve team operations.
Requirements
- 5+ years of experience working with data to solve problems and drive evidence-based decisions.
- Strong SQL skills and a solid grounding in statistics.
- Experience working closely with product teams.
- Proven ability to deliver actionable insights that drive measurable impact with minimal supervision.
- Strong product intuition and business acumen, with the ability to connect analysis to strategy.
- Excellent technical and non-technical communication skills focused on decisions and outcomes.
- Strong ownership, curiosity, and growth mindset.
- Experience with a scientific computing language such as Python.
- Ability to use AI tools such as Claude Code and Cursor effectively.
- Automation mindset and comfort working in ambiguous, fast-evolving environments.
Nice to Have
- Experience with data modeling and ETL pipelines, especially dbt.
- Experience building internal tools, data products, or self-service analytics capabilities.
- Experience leveraging AI across ideation, coding, analysis, and communication.
Compensation and Benefits
- Competitive salary and equity.
- Unlimited access to Claude Code and other AI tools.
- Weekday lunch, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Open vacation policy and flexible holidays.
- Paid maternity leave and six weeks of paternity leave.
- MacBook or other equipment as needed.
- Hybrid working policy with at least three days per week in the office.
Skills
SQL, Statistics, Python, AI Tools, Claude Code, Cursor, Data Modeling, Etl Pipelines, dbt, Data Pipelines, Quantitative Research, Data Products, Dashboards, Semantic Layers, Exploratory Analysis
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