Data Scientist (Product) - Remote

Overview

Kalshi is defining 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.

In Short

• We are looking for an experienced Data Scientist to join our growing data team.
• Data Scientists are embedded within cross-functional teams across the company.
• The ideal candidate will bring strong analytical and technical skills.
• You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies.
• This is a full-time role that can be held from our NYC office.
• Our tech stack includes Python, SQL, DBT, and AWS.
• Collaborate across teams to define and measure key metrics.
• Build models and analytical frameworks to support various initiatives.
• Champion data quality and accessibility across the organization.
• Experience in Analytics or Data Science is required.

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 like Redshift or Snowflake.
• Strong foundation in statistical methods and experimentation.
• Ability to communicate effectively with technical and non-technical partners.
• Experience supporting Product, Marketing, or Finance teams.

Benefits

• A self-starter attitude and the ability to thrive in ambiguous environments.
• Opportunity to work on complex data projects end-to-end.
• Competitive salary range and equity options.
• Inclusive and diverse workplace culture.
• Commitment to equal opportunity and inclusion.