Senior Data Scientist, Referrals

📋 Description

• Measure, optimize, and scale spend across the referral channel.
• Forecast member acquisition, cost, and downstream LTV under different spend scenarios.
• Develop attribution approaches for dual-sided referral incentives and organic overlap.
• Design geo experiments, holdouts, and platform lift studies.
• Build dashboards showing spend, CAC, funnel conversion, and LTV by campaign.
• Collaborate with Data Engineering to improve tracking and data quality.

🎯 Requirements

• 4+ years in referral programs and marketing, growth, or product analytics. FinTech a plus.
• Experience with marketing campaign planning and sizing; translate goals into spend and unit
• Forecasting experience for marketing or growth channels; communicate forecast uncertainty.
• Strong in designing incrementality tests (geo experiments, holdouts, platform lift).
• Knowledge of causal inference, experiment design, and distinguishing organic vs incentive-driven
• Advanced SQL; Python or R for analysis and modeling.

🎁 Benefits

• Hybrid work environment with in-office and remote options where applicable.
• Competitive bonus, equity package, and benefits; salary may vary by location.
• Comprehensive health, financial, and wellbeing benefits; vacation and parental leave policies.