Data Scientist at Retool in San Francisco, CA

ABOUT RETOOL

Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.

At Retool, we’re building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software—and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production-grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.

Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for.

Let's build the future together!

WHY WE'RE LOOKING FOR YOU

Retool is rapidly growing, and we’re tackling increasingly complex questions about our customers, product, and business. We’re looking for a Data Scientist to join our Data Science & Analytics team to help Retool make better, faster decisions at scale.

This is a generalist role for someone who’s excited by ambiguity, motivated by impact, and comfortable partnering across teams to shape strategy—not just report on outcomes. You’ll focus on understanding why things are happening, what signals matter most, and what Retool should do next, with success measured by real business and customer impact. Your work will inform company‑wide decisions across Product, GTM, and Leadership.

WHAT YOU'LL DO

• 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

WHO YOU'LL WORK WITH

Data science and analytics is a centralized, company‑level function that partners closely across teams at Retool.

• 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

THE SKILLSET YOU'LL BRING

We’re looking for someone who’s comfortable operating in fast‑moving, evolving environments, is comfortable making progress with imperfect information, and who enjoys owning problems end‑to‑end.

• 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

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.