Senior Product Data Scientist: Experiments & Impact

Government Employees Insurance Company; Bethesda (MD); On-site; USD 115,000 - 230,000; Full time

Job summary

GEICO, a leading auto insurer, seeks a seasoned Senior Product Analytics professional to partner with product, engineering, and design to frame questions, design experiments, and deliver actionable insights. You will define metric frameworks, build ROI models, and mentor junior analysts while communicating findings to executives.

Experience in statistics, causal inference, and SQL/Python/R is essential. The role emphasizes cross-functional collaboration, rigorous analysis, and scalable decision

Qualifications

• Experience: 8+ years in product analytics, decision science, data science, or a closely related quantitative role at a technology company, with a track record of influencing product decisions.
• Experimentation: Strong background designing well-powered A/B tests, diagnosing bias and variance issues, handling interference and non-stationarity, and interpreting results under real-world conditions.
• Statistics & Causal Inference: Solid applied statistics foundation with practical experience selecting the right causal method for the question at hand.
• Tools: Advanced SQL and working proficiency in Python or R for analysis, modeling, and reproducible workflows.
• Product Sense: Demonstrated ability to define metric frameworks for a product area, not just operate within frameworks built by others.
• Communication: Clear writing and direct storytelling with data—can produce a one-pager that moves a roadmap and present to executives without losing the nuance.
• Quality Mindset: Disciplined about quantifying what you know, surfacing what you don't, and resisting false precision.
• Education: Bachelor's degree or higher in statistics, economics, computer science, mathematics, operations research, or a related quantitative field—or equivalent practical experience.

Responsibilities

• Strategic Partnership: Embed with product, engineering, and design leaders as a decision partner—framing ambiguous business questions, pressure-testing roadmap assumptions, and shaping bets before they are committed.
• Metric Frameworks: Define goal metrics, guardrails, and supporting metric trees for your product area. Decompose top-line outcomes into measurable inputs that teams can move.
• Experimentation: Design, power, and analyze A/B and quasi-experiments. Go beyond average treatment effects to understand heterogeneity, long-term impact, novelty effects, and cross-surface interactions.
• Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental variables, propensity scoring, switchback designs) where randomization is not feasible.
• Decision Modeling: Build opportunity sizing, forecasting, and ROI models that scale how the organization makes trade‑offs—pricing, growth, retention, and long‑range investment decisions.
• Deep Dives: Lead root‑cause investigations into user behavior, funnel performance, retention, and engagement. Translate messy signal into clear, defensible recommendations.
• Collaboration: Serve as trusted analytics partner to PMs, designers, and engineers—translate product questions into research designs, analyses, and deliverables.
• Communication: Present findings and recommendations to senior leadership with clarity, structure, and its uncertainty.
• Mentorship & Best Practices: Mentor junior data scientists and analysts. Define internal standards for experiment design, statistical rigor, and reproducible analysis.

Skills

Experience in product analytics

Experimentation design

Statistics & causal inference

SQL

Python or R

Product sense

Communication

Education

Bachelor's degree or higher in statistics, economics, computer science, mathematics, operations research, or related quantitative field

Tools

Python

R

Job description

GEICO, a leading auto insurer, seeks a seasoned Senior Product Analytics professional to partner with product, engineering, and design to frame questions, design experiments, and deliver actionable insights. You will define metric frameworks, build ROI models, and mentor junior analysts while communicating findings to executives.

Experience in statistics, causal inference, and SQL/Python/R is essential. The role emphasizes cross-functional collaboration, rigorous analysis, and scalable decision