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Senior/Staff Data Scientist
Render. Serve as a strategic analytics partner to leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
Posted 9/18/2026full-timeRemote • California • United States, CanadaSenior💰 $195,000 - $268,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics strategy, defining KPIs, and utilizing modern analytics tools to drive data-driven decision-making. Proficient in SQL and statistical analysis, with a strong ability to mentor and influence cross-functional teams.
Highest-signal resume keywords
7+ Years Of Analytics ExperienceStrong SQL SkillsExperience With Modern Analytics ToolingExpertise In Statistical MethodsExcellent Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLStatistical AnalysisKPI DefinitionExperimentationData TransformationData LiteracyMeasurement FrameworksAnalytics StrategyData-Driven Decision-MakingPattern Recognition
Soft Skills
Influencing Without AuthorityMentoringCommunication
Tools & Technologies
MetabaseMixpanelDbtBigQuerySegmentGitAI-Assisted Coding Tools
Industry Keywords
Product AnalyticsGrowth MetricsGo-To-Market StrategyCloud InfrastructurePaaSDeveloper Tooling
Tech Stack
Tools & technologiesBigQueryCloudSQLGo
About the role
Key responsibilities & impact- Serve as a strategic analytics partner to leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
- Identify high-impact questions, frame decisions, and determine how success should be measured.
- Define KPIs and measurement frameworks for acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.
- Surface patterns across users, customers, products, and the business.
- Identify opportunities, diagnose friction, and help determine investments and priorities.
- Design and analyze experiments, develop guardrail metrics, and evaluate initiatives.
- Define instrumentation and measurement plans for new products, programs, and initiatives.
- Build and maintain dbt models, semantic layers, and context layers with Analytics Engineering.
- Transform behavioral and business data into reliable datasets supporting decision-making across Render.
- Establish analytical best practices and improve data-driven decision-making.
- Mentor scientists and cross-functional partners on measurement, experimentation, and data literacy.
- Explore AI-assisted tools to make analytics faster and more accessible while maintaining accuracy and analytical judgment.
Requirements
What you’ll need- 7+ years of analytics experience.
- Track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces.
- Strong business and product judgment.
- Experience defining and using metrics across Product, Growth, Go-to-Market, Finance, or other business domains.
- Strong SQL skills, including writing complex, efficient SQL and independently exploring large datasets.
- Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact.
- Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git.
- Track record of influencing cross-functional teams and senior leaders without direct authority.
- Excellent communication skills, including explaining technical concepts to non-technical audiences.
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code.
- Expertise in statistical methods beyond traditional A/B testing is a nice-to-have.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses is a nice-to-have.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products is a nice-to-have.
- Experience analyzing multi-product or multi-segment businesses is a nice-to-have.
- Generally not eligible for new visa sponsorship; existing visa transfers may be sponsored at Render's discretion, subject to business authorization.
- Applicants must be legally authorized to work in the United States of America.
Benefits
Comp & perks- 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 insurance.
- Life insurance.
- 401K plans.
- 100% employer-paid medical coverage for you and a dependent.
- 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.
- Home office stipends for remote Renders.
- Continuous learning benefits and related support.
- Equity offered.