# Senior Data Scientist, Referrals

**Company:** [Chime](https://hotfix.jobs/companies/chime)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $133k – $185k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, Looker, Tableau, Causal Inference, experiment design, Forecasting, attribution modeling, Dashboarding, Marketing Analytics, Product Analytics, A/B Testing
**Posted:** 2026-08-12

> This senior data scientist will measure and forecast referral-driven acquisition, optimize campaign spend, and quantify incremental lift and long-term member value. The role requires 4+ years in referral, marketing, growth, or product analytics, advanced SQL, Python or R, experimentation, forecasting, and dashboarding expertise.

## Job Description

## 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.

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