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Data Scientist

Retool

Job Location:

San Francisco, CA - USA

Yearly Salary: $ 182800 - 250000

Posted: 24 August 2026 (21 hours ago)

Application Deadline: 21 November 2026

Vacancies: 1 Vacancy

Job Summary

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 dont 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 directlyand the tools they reach for are multiplying by the week. Thats 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 were 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 hasntand thats 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.

Lets build the future together.

WHY WERE LOOKING FOR YOU

Retool is rapidly growing and were tackling increasingly complex questions about our customers product and business. Were 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 whos excited by ambiguity motivated by impact and comfortable partnering across teams to shape strategynot just report on outcomes. Youll 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 companywide decisions across Product GTM and Leadership.

WHAT YOULL 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 earlyand help teams act before issues escalate
Enable teams to selfserve on foundational analytics so you can stay focused on higherimpact work

WHO YOULL WORK WITH

Data science and analytics is a centralized companylevel 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 leadershipsupporting strategic decisions across the company with clear customergrounded insights

THE SKILLSET YOULL BRING

Were looking for someone whos comfortable operating in fastmoving evolving environments is comfortable making progress with imperfect information and who enjoys owning problems endtoend.

5 years of experience working in data science and/or product analytics
Experience working in startup or highgrowth 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 intuitiondriven to datainformed decisionmaking
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 insightsand slowing down when the cost of a wrong decision is high
Ease contextswitching across problem areas and teams from highlevel strategy to lowlevel 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.

Required Experience:

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