Senior Data Scientist

📋 Description

• Be analytics partner inside the pod; define questions, metrics, guardrails, rules.
• Run rigorous experiments with A/B tests and pre-defined success criteria.
• Connect behavior to strategy using funnel, cohort, and lifecycle analysis.
• Apply causal inference when experiments aren't possible (diff-in-diff, matching, regression).
• Build predictive models with feature engineering, validation, and monitoring.
• Create decision-ready analyses and narratives to drive action.

🎯 Requirements

• 6+ years using data to drive product/business decisions.
• Strong SQL and Python or R for analysis and modeling.
• Deep experimentation and causal inference; Bayesian exp preferred.
• Practical modeling: feature engineering, validation, backtesting, calibration.
• Strong product sense; connect analytics to measurable outcomes.
• Clear communication: explain complex work to non-technical audiences.

🎁 Benefits

• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement