The opportunity
We are hiring a Sr. Data Scientist, Referrals to help us understand how our referral investment drives member acquisition and long-term value.
What you'll do
Partner with Referrals to define KPIs and measurement frameworks across campaigns and audiences
Size and scope referral campaigns in partnership with marketing, product and: finance: translating acquisition goals into expected spend, volume, and ROI projections ahead of launch, and supporting operational planning for campaign execution
Build and maintain forecasting models for the referral channel, projecting: member acquisition volume, cost, and downstream LTV under different spend scenarios, seasonality assumptions, and campaign configurations
Develop attribution approaches that reconcile platform-reported performance: with observed member behavior, accounting for the complexity of dual-sided referral incentives and organic word-of-mouth overlap.
Design and analyze geo experiments, holdouts, and platform lift studies to: quantify incremental lift and separate true impact from correlation
Build and maintain dashboards that give clear visibility into spend, CAC,: funnel conversion, and downstream LTV by campaign
What they're looking for
- Collaborate with Data Engineering to improve tracking, data quality, and the: pipelines behind spend, click, and conversion data
- Translate complex analyses into clear, actionable recommendations for cross-functional leadership
- + years of experience in referral programs and in marketing, growth, or: product analytics. Experience in FinTech preferred.
- Experience with marketing campaign planning and sizing: comfortable working from business goals backward to estimate required spend, expected member volumes, and unit economics, with an understanding of how campaigns are operationally structured and executed
