Role Focus:

Own data science end-to-end: Turn business questions into scopes, deliver robust analysis, and build reproducible systems.
Act as a thought partner to GTM, product, and finance leaders, shaping questions and surfacing opportunities.
Support fundraising readiness by contributing to an evergreen data pool and reliable reporting.

Requirements:

5+ years in data science, analytics, or applied ML in a high-growth environment.
Strong foundation in statistics, experimentation, causal thinking, and forecasting.
Proficiency in production-quality Python code and building maintainable internal systems.
Excellent communication skills for explaining technical concepts to non-technical audiences.
High ownership and autonomy to operate effectively in a fast-paced environment.

Team & Process:

Report directly to the Head of Data Science and partner with leaders across GTM, product, and finance.
Expect ~1 week of travel per quarter to Chicago or Redwood City offices.
Interview process includes intro call, paid take-home exercise, on-site reviews, and reference checks.

Rundoo

Rundoo empowers independent supply stores like local hardware stores and mom-and-pop nurseries with best-in-class technology to modernize their outdated systems in a $1T building materials industry. The team of builders, sellers, and industry veterans is backed by leading investors, has raised $18M, and is growing quickly to bring modern tech to an overlooked industry.

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