Data Scientist, Kalshi

• The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities
• 4+ years of experience in Analytics, Data Science, or a related field
• Fluency in SQL and proficiency in a scripting language like Python or R
• Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
• Strong foundation in statistical methods, experimentation, and/or forecasting
• A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
• Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams

Desirable

• We are looking for an experienced Data Scientist to join our growing data team. At Kalshi, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform
• You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling
• Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions
• Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
• Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
• Own complex data projects end-to-end—from problem scoping to solution delivery
• Champion data quality, accessibility, and the democratization of data across the organization
• Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
• Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine learning and visualization through Superset, Dagster, Hex. We leverage cloud platforms such as AWS for scalable data storage and computational needs