Data Scientist

Responsibilities

• 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.

Requirements

• 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.

Compensation

• Base pay range: $182,800 – $250,000 per year.
• Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
• Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).