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# Data Scientist (Product)

- **Company:** Chinese American IPA, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Distributed Data Store, Apache Hive, Python (Programming Language), SQL Databases, Snowflake, Apache Spark, Presto, Amazon Redshift
- **Published:** August 16, 2026
- **Apply:** https://www.dice.com/job-detail/0b45ec3d-451e-49ca-ac80-5edb29b3e2ca

## About the Role

* 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

## Description

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


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