Opportunity Data Science work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Scientist (Product)

Kalshi Open · verified Oct 24, 2026
On-site New York Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Kalshi. New York · full-time · $100,000–$250,000 base.

SalaryStated by Kalshi
$100,000 – $250,000
Base salary for this role, in USD per year, as published in the posting.
This role, from KalshiOur estimate for the market: $137,581–$208,900Median $157,100
The range includes the market median of $157,100 for mid-level data science roles in New York.
Worked out from 54 postings that stated pay, median $157,100. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationNew York
WorkplaceOn-site
EmploymentFull-time
Base pay$100,000–$250,000
PostedNov 24, 2025 · 11mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set measures with partner teams, test ideas, and turn the results into guidance for business and product decisions
  • Build models and analytical approaches for work across product, marketing, finance and platform teams
  • Create shared datasets, pipelines and tools so teams can use data more easily
  • Take data projects from problem definition through delivery, while improving data quality and access
  • Work with product, engineering, design, research, sales, marketing and finance teams to produce measurable results

What you bring

  • At least four years in data science, analytics or a closely related area
  • Strong SQL skills plus working proficiency in Python or R
  • Hands-on experience with distributed data platforms, such as Redshift, Snowflake or another listed system
  • A solid grasp of statistical analysis, experiments or forecasting
  • You can explain data work clearly and collaborate across technical and non-technical teams

Who this fits

This mid-level role suits a data scientist who can move between analysis, modeling, experimentation and building data infrastructure for internal teams. It is based onsite in New York City.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.