Chime Financial, IncНовая20 часов назад
Senior Data Scientist, Referrals
11 083–15 417 ₽в месяц · до вычета
РЫНОК
15 450 ₽медиана по профессии
Data Scientist · 36 вакансий с указанной зарплатой
7 333половина предложений: 12 500–20 277150 000
Ниже рынка · выше 19% предложений
San Francisco
Обязанности
- 01Partner with Referrals to define KPIs and measurement frameworks across campaigns and audiences
- 02Size 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
- 03Build 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
- 04Develop 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
- 05Design and analyze geo experiments, holdouts, and platform lift studies to quantify incremental lift and separate true impact from correlation
- 06Build and maintain dashboards that give clear visibility into spend, CAC, funnel conversion, and downstream LTV by campaign
- 07Collaborate with Data Engineering to improve tracking, data quality, and the pipelines behind spend, click, and conversion data
- 08Translate complex analyses into clear, actionable recommendations for cross-functional leadership
Требования
- 014+ years of experience in referral programs and in marketing, growth, or product analytics
- 02Experience in FinTech preferred
- 03Experience 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
- 04Forecasting experience for a marketing or growth channel: building models that project forward-looking performance and communicating forecast uncertainty and scenario sensitivity to cross-functional stakeholders
- 05Strong experience designing and evaluating incrementality tests: geo experiments, holdouts, and platform lift studies
- 06Working knowledge of causal inference methods including experiment design, holdout analysis, and techniques for isolating organic from incentive driven behavior
- 07Advanced SQL skills and proficiency in Python or R for analysis and modeling
- 08Experience building dashboards (e.g., Looker, Tableau, or similar BI tools) that drive stakeholder decision-making
- 09A strong understanding of attribution concepts and the challenges of measurement in a privacy-constrained, cross-device environment
- 10The ability to communicate complex findings clearly to both technical and non-technical partners and influence decisions with data
Условия
- 01Full-time employees are eligible for a bonus, competitive equity package, and benefits
- 02Hybrid work policy: four days a week in the office and Fridays from home for those near one of our offices