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Data Scientist
Retool
San Francisco$183k–250kOn-site4mo ago
- Employment
- Full-time
About the role
- Analyze customer behavior, product usage, and business performance to surface insights tied to core metrics like ARR, retention, and sales efficiency
- Frame ambiguous business questions into clear analytical approaches and recommendations
- Build models, frameworks, and narratives that influence strategy, prioritization, and tradeoffs
- Identify customer friction and risk early—and help teams act before issues escalate
- Enable teams to self‑serve on foundational analytics so you can stay focused on higher‑impact work
- Product and Engineering to inform product direction, roadmap, and prioritization
- GTM teams, such as Marketing, Sales, Customer Success, and RevOps, to understand acquisition, expansion, and retention dynamics
- Executive leadership—supporting strategic decisions across the company with clear, customer‑grounded insights
- 5+ years of experience working in data science and/or product analytics
- Experience working in startup or high‑growth environments, especially B2B SaaS
- Strong SQL proficiency with an eye for writing performant, robust queries
- Comfort operating in ambiguity and proactively identifying and defining business problems
- Experience helping teams shift from intuition‑driven to data‑informed decision‑making
- Exposure to experimentation, forecasting, or predictive modeling
- Experience designing data models and building pipelines to unblock yourself
- Strong ability to synthesize complex information (data, context, and constraints) into clear, concise narratives for business stakeholders
- Comfort moving quickly by default to produce actionable insights—and slowing down when the cost of a wrong decision is high
- Ease context‑switching across problem areas and teams, from high‑level strategy to low‑level details as needed
Perks & benefits
- 401k
- Equity Compensation
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