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Salary: USD 133,000 - 185,000 / annual
Chime is seeking a Senior Data Scientist to lead analytics and measurement for the referrals channel, a key member-acquisition lever that operates through dual-sided incentives, viral loops, and organic word-of-mouth. Unlike traditional paid marketing, referral programs require specialized measurement approaches to isolate true incrementality from organic bleed and incentive sensitivity.
You will partner closely with the Referrals, Marketing, Product, and Finance teams to define KPIs, size campaigns, and optimize spend allocation. Key responsibilities include: defining measurement frameworks and KPIs across referral campaigns; sizing and scoping campaigns by translating acquisition goals into spend, volume, and ROI projections; building and maintaining forecasting models that project member acquisition, cost, and downstream LTV under different scenarios; developing attribution approaches that reconcile platform-reported performance with observed behavior; designing and analyzing geo experiments, holdouts, and platform lift studies to quantify incremental impact; building dashboards that track spend, CAC, funnel conversion, and LTV by campaign; collaborating with Data Engineering on tracking and data quality; and translating complex analyses into actionable recommendations for leadership.
You bring 4+ years of experience in referral programs and marketing, growth, or product analytics (FinTech preferred). You have hands-on expertise in marketing campaign planning and sizing, forecasting for growth channels, designing incrementality tests, and causal inference methods. You are proficient in SQL and Python/R, experienced with BI tools (Looker, Tableau), and understand attribution challenges in privacy-constrained, cross-device environments. You communicate complex findings clearly to technical and non-technical stakeholders and drive decisions with data.
