Senior Data Scientist, Growth Marketing
$180,000–$235,000 year
On-siteSan Francisco, California, United States
Job Summary
Build next-generation customer lifetime value models and integrate them into operational marketing decision-making. Lead product scientific experimentation programs by designing causal impact assessments, media mix modeling, and self-service tooling for internal teams. Drive marketing efficiency through systematic experimentation, estimating the relationship between marketing operations and user acquisition outcomes. Collaborate with engineering to design scalable ML pipelines and predictive feedback mechanisms for digital ad networks. Maintain high technical standards by mentoring peers, conducting code reviews, and ensuring quality in production systems. Create scalable approaches that enable the data team to undertake product experimentation independently.
Required Qualifications
- 6+ years of professional experience in data science
- proficiency in SQL
- at least one scripting language
- statistical modeling
- engineering scalable experimentation solutions
- direct experience building production grade tooling for operational use by teams of internal decision makers
- ability to drive marketing and product strategy with experimental and observational data
- proven ability to collaborate across teams and communicate technical insights effectively
- Excellent writing, presentation, and communication skills
- Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling
Desired Qualifications
- Experience in fintech, banking, or finance
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