# Data Scientist, Market Making at FanDuel

- Company: FanDuel
- What the company does: FanDuel, launched in July 2009, is the undisputed leader in the one-week fantasy sports industry. Offering fantasy sports for NFL, MLB, NBA, and NHL, FanDuel targets the 30+ million adult fantasy sports players in North America. Backed by Tusk Venture Partners.
- Company website: https://fanduel.com
- Type: Startups
- Level: Mid level
- Location: Jersey City, New Jersey, United States
- Work setup: On-site
- Pay: $98K to $152K base salary per year (USD)
- Posted: 2026-09-04
- Apply by: 2026-10-19
- Apply: https://www.fanduel.careers/open-positions?gh_jid=8181013
- Page: https://www.1752.vc/careers/jobs/fanduel-data-scientist-market-making/

## About the role

From research and data collection through production deployment and monitoring, you will build and improve the predictive models and algorithmic decision systems that power automated pricing and trading. Working closely with algorithmic traders, quant engineers, and product teams, you will translate sports, market, and operational data into models that improve price quality, execution quality, market competitiveness, and risk management.

## What they're looking for

- Develop, iterate, and deploy predictive models and algorithmic decision systems for automated pricing and market making
- Partner with algorithmic traders and quant engineers to test, deploy, and refine models and strategy logic in production
- Manage data preparation from collection through cleaning, build robust models with strong feature and model selection
- Improve quoting, pricing, and exposure-management logic using sports data, market signals, and performance analysis
- Build backtesting, simulation, and monitoring tools to evaluate model calibration and risk-adjusted performance
- Construct models and analyses in response to questions from trading, product, and engineering stakeholders

Tags: Risk & Trading