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We’re looking for a visionary and hands-on Head of Data Science to join our team. In this role, you’ll define and scale the data function at Render from the ground up—setting the strategy, building a world-class team, and embedding data deeply into every decision we make. You will work closely with leaders across Product, Engineering, Marketing, and GTM to shape product strategy, surface key insights, and drive operational excellence. This is a unique opportunity to lead a highly impactful function at a pivotal stage of our growth. You will lead by example, guiding the work of other data scientists while personally contributing to exploratory analysis, experiment design, causal inference, and data infrastructure improvements.
Job Responsibility:
Build, lead, and mentor a high-performing data science team across analytics, experimentation, and statistical modeling
Personally drive and guide impactful IC work, from ad hoc analysis to ML-based modeling projects
Create and evangelize best practices for data reliability, reproducibility, and documentation
Collaborate with senior leadership to define a long term data strategy
Own and scale the Data Science function across product, growth, and go-to-market, aligning with company OKRs and strategic bets
Hire, lead, and mentor a world-class team of data scientists and analysts
build a high-trust, high-impact culture grounded in intellectual rigor and bias for action
Define and communicate Render’s long-term data strategy and architecture in partnership with Engineering and Product leadership
Drive strategic insight across the org: from pricing and packaging to product adoption, conversion, and customer segmentation
Promote data fluency across Render through tools, dashboards, and processes that empower every team to make smarter decisions
Provide actionable insights about our users such as how they work, how they discover features, and which obstacles they might run into on the platform
Contribute toward initiatives to enhance the reliability and accuracy of our data infrastructure and processes
Requirements:
8+ years of experience in data science
4+ years in a leadership role scaling teams and delivering cross-functional impact
Strong foundation in statistics, causal inference, experimentation, and modeling techniques
Fluency in SQL and Python
Experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel)
Track record of influencing executive-level decisions through clear storytelling and analytical depth
Demonstrated ability to scale data functions from zero-to-one and beyond in fast-paced, product-led environments
Impact mindset: excited to wear multiple hats, move fast, and help define what “great” looks like
Nice to have:
Experience in B2B SaaS, cloud infrastructure, developer tools, or growth analytics
What we offer:
Equity with early-exercise options and extended exercise windows
4 weeks of paid vacation
14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child
Long-term disability, life insurance, and 401K plans
100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent
FSAs and HSAs are available
Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
Monthly cell phone and internet subsidy
Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders