Senior Data Scientist, Spending
Senior Data Scientist focused on spending products at a fintech company. Lead experimentation, build metric frameworks, and drive data-informed product decisions for member banking experiences.
Responsibilities
- Partner with product, engineering, research, and design to translate insights into product development guidance
- Lead experimentation: define success metrics, data requirements, evaluate impact, and provide strategic direction
- Drive roadmap, analysis, metric ideation, and strategic discussions with stakeholders
- Monitor performance metrics and KPIs; explain trends across business, product, and member base
- Foster a data-driven, test-and-learn culture through storytelling with data and actionable recommendations
- Collaborate with analysts and cross-functional teams to bridge business questions with technical solutions
Requirements
- 5-7 years in data-focused roles (post-internship) building analytical infrastructure and data tools
- Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g., causal inference)
- Expert-level SQL skills with ability to translate business questions into queries and navigate data warehouses
- Familiarity with R or Python for reproducible code and automation
- Hands-on experience with BI/visualization tools (Looker, Tableau, PowerBI, etc.)
- Experience building metric frameworks to understand user behaviors
- Strong stakeholder management and cross-functional collaboration skills
- Ability to think holistically, navigate ambiguity, and drive business impact
Nice-to-Haves
- B2C product analytics experience
- FinTech experience
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Senior Data Scientist, Causal Inference
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Senior Data Scientist, Causal Inference
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