Data Scientist

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. Kalshi is currently the fastest financial market in America, and has 1000 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. 

Building a new category is hard… like really hard. But it’s beautiful and deeply fulfilling. Our culture is simple: we hire really talented, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us built the next generation of financial markets.

Role Roadmap

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. 

The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. 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.

This is a full-time role that can be held from our NYC office.

Technology:

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.

What you’ll do:

• 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.

What we’re looking for:

• 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.

Bonus points

• A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments.

Our Culture

Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

NYC Pay Transparency Disclosure:

Salary Range: $100,000 to $250,000 annually plus equity and benefits.

This salary range is based on the current available market data and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but a broad range of experience is represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to discuss further.