[Hiring] Senior/Staff Data Scientist @Render

Role Description

We're looking for a Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business—from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth.

You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs.

You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Staff-level individual contributor, you'll also help set the standard for analytics at Render—shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions.

What You’ll Do

• Serve as a strategic analytics partner.
• Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance and other teams to identify high-impact questions, frame decisions, and determine how success should be measured.
• Define meaningful metrics and measurement frameworks.
• Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.
• Turn data into strategy.
• Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize.
• Shape our approach to experimentation and evaluation.
• Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand.
• Build measurement into how we work.
• Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch.
• Build trusted analytical foundations.
• Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render.
• Raise the bar for analytics.
• Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy.
• Help shape the future of analytics at Render.
• Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment.

Qualifications

• 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces.
• Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision.
• Experience defining and using metrics across some combination of product, growth, Go-to-Market, Finance or other business domains—for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue.
• Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work.
• Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate.
• Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git.
• A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says.
• Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action.
• Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization.

Nice-to-Haves

• Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis.
• Experience with developer-focused, product-led, sales-led, or usage-based businesses.
• Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.
• Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys.

Benefits

• 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.
• 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.
• Continuous learning benefits & related support.