Render
Senior/Staff Data Scientist
SF or Remote (US/Canada) · Staff+
Sponsorship not specifiedDetected 35 days ago
Full-Stack DevelopmentSQLBigQueryCloud PlatformsMachine LearningdbtData AnalysisData ScienceLLMsStatisticsA/B TestingComplianceRecruitingCommunicationMetabase
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action.
- As a Senior/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.
Responsibilities
- 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.
- 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.
- We will also work with you to create a supportive plan of return.
Requirements
- 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces.
- You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision.
- 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.
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization.
- 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.
- Continuous learning benefits & related support.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
Company info
- Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms-so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
- Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively.
- We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
- 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.
Equal opportunity
- Please contact us to request accommodation.
Visa & Work Authorization
- This position is generally not eligible for new visa sponsorship.
This listing is sourced directly from Render's careers page and normalized into a canonical job model.