Think of your local hardware store or mom-and-pop nursery—these are our clients.
From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.
We’re aiming to help them modernize so that they can continue to thrive.
Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly.
Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.
About the role You’ll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook).
You’ll be a thought partner to leaders across GTM, product, and finance — shaping the question as much as answering it — and proactively surfacing anomalies and opportunities as the business scales.
This is a remote role with a strong preference for candidates based in SF or NYC.
You will report directly to the Head of Data Science.
What you’ll do as an Data Scientist at Rundoo ️ Deliver high-trust analysis on clear timelines: stakeholders trust both the answer and the ETA; assumptions and limits are explicit.
Translate business problems into analysis + system.
Build and maintain internal decision systems: ship lightweight tools/workflows so insights are reproducible and maintainable by others.
Partner with GTM teams: help Sales/GTM move from “interesting analysis” to actions (e.
, prospecting lists, territory design, experimentation).
Proactively surface issues: detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket.