Senior Data Scientist

📋 Description

• Build predictive models for marketing: LTV, churn, CAC payback, and propensity-to-convert.
• Own marketing attribution and incrementality across paid channels.
• Quantify the causal impact and long-term value of promotions and lifecycle campaigns.
• Apply causal inference methods (geo experiments, synthetic control, diff-in-diff, uplift) when A/B tests aren't possible.
• Partner with growth to design, run, and read experiments: A/B tests, geo-tests, holdouts.
• Develop dashboards for real-time channel performance, cohorts, promo ROI, and funnel health.

🎯 Requirements

• 5+ years as data scientist, marketing or growth analyst in consumer apps or gaming/fintech.
• Strong SQL skills with large, messy datasets.
• Hands-on Python modeling: LTV, churn, propensity with scikit-learn/XGBoost.
• Experience evaluating long-term/incremental marketing impact; distinguishing responders from influenced.
• Knowledge of causal inference methods (diff-in-diff, synthetic control, uplift) and when to apply.
• Marketing measurement: attribution, incrementality, holdouts, cohort analysis, CAC/LTV/payback.

🎁 Benefits

• Unlimited/flexible paid time off.
• Health benefits (medical, dental, vision) and parental leave.
• Employee-sponsored 401(k).
• $500 work-from-home stipend + equipment & accessories.
• Work remotely.
• Professional development opportunities.