Data Scientist (Product)

What is Kalshi? 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. What You’ll Do 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 What You Bring Required: 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 Bonus Points: Self-starter energy with the ability to thrive in fast-paced and ambiguous environments NYC Pay Transparency Disclosure Salary Range: $100,000–$250,000 annually, plus equity and benefits. This range reflects current market data for this role. Kalshi has minimal hierarchy and broad variance in experience levels within each title; if your compensation expectations exceed this range, we encourage you to reach out — we’re always happy to discuss. 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. Commitment to Equal Opportunity Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.

{
  "content_hash": "ee6b0fb9820a14b164a31a77fb2b677b3b198b0307c9ea0231b22157503a1a67",
  "source_hash": "1a19d799c426635cc887547641f1e37c1006dc727199d18c26934112fa546b2c",
  "last_changed_at": "2026-05-29T05:09:12.757Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York Office",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": 250000,
  "salary_min": 100000,
  "inferred_at": "2026-06-06T19:20:03.671Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York Office",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "id": "b1ada97f-73f7-492e-89b7-150ebd49ad55",
  "team": "Engineering",
  "title": "Data Scientist (Product)",
  "jobUrl": "https://jobs.ashbyhq.com/kalshi/b1ada97f-73f7-492e-89b7-150ebd49ad55",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/kalshi/b1ada97f-73f7-492e-89b7-150ebd49ad55/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York Office",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}