Data Scientist

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.

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, comp