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Data Scientist (Product)

Kalshi · New York City, New York

Location
New York City, New York, United States
Employment
Full time
Level
Mid level
Posted
9 months ago

About this role

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.

As published by Kalshi. Applications are handled on their site.

Skills this posting mentions

Apache SparkArtificial IntelligenceAnalytics

About Kalshi

Kalshi allows people to trade on event outcomes, from whether Brexit will happen this year to whether it will rain in NYC tomorrow. We are developing an asset class, “event contracts,” and a financial exchange for trading on the outcome of events. Kalshi’s vision is to allow people to capitalize on their opinions and to trade in the domain of everyday knowledge.

All 41 openings at Kalshi

One click, then it is written

Apply to Kalshi with a resume written for this role.

Queue Data Scientist (Product) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Kalshi’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Kalshi publishes. Refolk is not the employer and does not handle their hiring. Applications go to Kalshi directly.