Senior Data Scientist, Referrals

Responsibilities

• Define KPIs and measurement frameworks across referral campaigns and audiences.
• Size and scope referral campaigns by translating acquisition goals into expected spend, volume, and ROI projections.
• Build and maintain forecasting models for acquisition volume, cost, and downstream LTV under different scenarios.
• Develop attribution approaches accounting for dual-sided incentives and organic word-of-mouth overlap.
• Design and analyze geo experiments, holdouts, and platform lift studies to measure incremental impact.
• Build dashboards for spend, CAC, funnel conversion, and downstream LTV by campaign.
• Collaborate with Data Engineering to improve tracking, data quality, and spend, click, and conversion data pipelines.
• Translate complex analyses into actionable recommendations for leadership.

Requirements

• 4+ years of experience in referral programs and marketing, growth, or product analytics; FinTech experience preferred.
• Experience with marketing campaign planning and sizing, including spend, member-volume, and unit-economics projections.
• Experience forecasting marketing or growth-channel performance and communicating uncertainty and scenario sensitivity.
• Strong experience designing and evaluating incrementality tests, including geo experiments, holdouts, and platform lift studies.
• Working knowledge of causal inference methods, experiment design, and holdout analysis.
• Advanced SQL skills and proficiency in Python or R for analysis and modeling.
• Experience building dashboards with Looker, Tableau, or similar BI tools.
• Understanding of attribution in privacy-constrained, cross-device environments.
• Ability to communicate complex findings clearly and influence technical and non-technical stakeholders.

Compensation & Benefits

• Base salary: $133,000–$185,000.
• Eligible for a bonus, competitive equity package, and benefits.
• Benefits include health, financial, and wellbeing programs; paid time off; parental leave; family planning reimbursement; commuter benefits; wellness stipend; and backup child, elder, and pet care.
• Hybrid in-office policy for employees near an office, with four days in the office and Fridays from home; fully remote options are also available for eligible employees.