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Mid LevelFull-timePythonRustAI
Salary Range
$68,000 - $92,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Kalshi is seeking a Senior Data Scientist to own and define the company’s Customer Lifetime Value (LTV) framework. This individual will ensure LTV reflects durable, structural drivers of customer value and serve as Kalshi’s authority on long-term value.
Key Responsibilities
- →Design LTV models that capture structural value, separating long-term signal from short-term promotions and seasonality
- →Build user- and cohort-level models that account for geography, regulatory constraints, and behavioral signals
- →Validate models across multiple years, product launches, and seasonal cycles
- →Make LTV actionable at different resolutions (user, cohort, geo, channel)
- →Clearly communicate uncertainty, confidence intervals, and limitations
Requirements
- ✓5–8+ years of experience as a Data Scientist in a consumer marketplace with meaningful seasonality
- ✓Proven ownership of an LTV model that lived in production for multiple years
- ✓Deep experience with cohort-based modeling and survival analysis
- ✓Strong SQL and Python (or R); comfortable working with large-scale feature pipelines
- ✓Demonstrated ability to explain why a model generalizes
Benefits
- ★Competitive salary range of $200,000 to $250,000 annually
- ★Equity and benefits package
