As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.
ABOUT RETOOL
Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling support workflows, building admin dashboards, and countless processes you might never have thought of. But most companies don't have the resources to properly invest in these tools, leading to a lot of old, clunky internal software, or worse, teams still stuck in manual and spreadsheet workflows.
AI has changed who gets to build software. The definition of "developer" now includes analysts, operators, and domain experts creating solutions directly—and the tools they reach for are multiplying by the week. That's both an opportunity and a challenge: as more people build with more AI tools, the risk of shipping ungoverned software into production grows just as fast.
At Retool, we're building the platform that makes all of it safe to ship. Build with any AI tool you want, then deploy into one place that connects to your real business data, enforces enterprise policies automatically, and lets teams create once and reuse everywhere with shared, trusted components. The cost of building software has collapsed. The cost of governing it hasn't—and that's the problem we solve.
Developers and domain experts have already automated over 100 million hours of work on our platform, freeing them to focus on creative problem-solving and strategic work that drives real business value. The people closest to the problem can now build the software to solve it, safely, and within enterprise guardrails.
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
For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.
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). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
The base pay range for this role is $182,800 – $250,000 per year.
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.
Retool San Francisco, California, USA Office
Retool's headquarters is in San Francisco's Mission District within walking distance to the 16th St. Bart station, great coffee shops, and SF institutions like Dandelion Chocolate and Tartine Manufacturing. We have dedicated parking, secure bike storage, and 24/7 onsite security.
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