Data Scientist (Product)

Kalshi•New York City, NY

1d•$100,000 - $250,000•Onsite

About The Position

Kalshi is defining a new category Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more. We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position. Our vision: well… build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets. Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets. Role Roadmap We’re hiring an experienced Data Scientist to join our growing data team. At Kalshi, Data Scientists sit at the center of the company and are embedded across Product, Finance, Marketing, Platform, and more. You’ll combine analytical depth, technical skill, and business intuition to drive decisions, uncover opportunities, and influence product direction. You’ll work on projects ranging from user-behavior insights to revenue optimization, experimentation, modeling, and building internal data tools that scale across the organization. This is a high-impact, cross-functional role based in our NYC office. Our Stack: Python, SQL, DBT, Superset, Dagster, Hex, AWS, and distributed data systems for storage and computation.

Requirements

4+ years of experience in Analytics, Data Science, or a related field
Fluency in SQL and proficiency in Python or R
Experience with distributed data systems (Redshift, Snowflake, Presto, Hive, Spark, etc.)
Strong grounding in statistical methods, experimentation, and/or forecasting
Proven ability to work cross-functionally and clearly communicate with both technical and non-technical partners
Experience supporting Product, Marketing, Finance, or internal Platform/Tooling teams

Nice To Haves

Self-starter energy with the ability to thrive in fast-paced and ambiguous environments

Responsibilities

Partner with cross-functional teams to define and measure key metrics, design experiments, and extract insights that guide strategy
Build analytical frameworks and models that support Product, Marketing, Platform, and Finance initiatives
Develop tools, datasets, and pipelines that make data more accessible and actionable across the company
Lead end-to-end data projects—from scoping the problem to delivering the solution
Champion data quality, reliability, and democratization throughout the organization
Work closely with Product, Engineering, Design, Research, Sales, Marketing, and Finance to drive measurable impact