Data Scientist, Market Making

THE POSITIONO

ur roster has an opening with your name on itFrom 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.

This role requires flexibility around the sporting calendar, including occasional evenings, weekends, and holidays tied to major live  addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN Everyone on our team has a part to play Model Development & Production 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

Pricing & Automation Research 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

Performance Analysis & Monitoring Create dashboards, diagnostics, and data visualizations for model health, execution quality, and communication

Conduct post-event and post-trade analysis to identify opportunities to improve pricing and automation

Evaluate model performance using historical results, live observations, and key metrics

Trading Tools & Platform Collaboration Work with engineering and product teams to improve trading tools, controls, and operational reliability

Contribute to a production code environment; provide feedback on platform behavior and new feature validation

Identify opportunities to use data and models to improve automation, pricing, and business resultsTHE STATSWhat we're looking for in our next teammate

Quantitative & Data Science Experience Experience in data science, analytics, quantitative research, or engineering preferred

Bachelor's degree in a highly numerate major (Math, Stats, Econ, Computer Science, Engineering, etc.) or relevant experience

Strong proficiency in Python or R and SQL Experience building and deploying models for production products and tools

Experience with simulation or back testing is a plus Market Making & Sports Context Interest or experience in sports betting, prediction markets, DFS, or fantasy sports

Familiarity with pricing dynamics, market behavior, or real-time decision environments is a plus Communication & Collaboration Strong verbal and written communication skills; ability to work across teams, locations, and time zones

Comfortable with command line tools, Git Hub, and object-oriented design and coding

Flexible schedule including occasional evenings, weekends, and holidays based on the sporting calendarABOUT FANDUELFanDuel Group is the premier mobile gaming company in the United States and Canada. Fan Duel Group consists of a portfolio of leading brands across mobile wagering including:
America’s #1 Sports book, Fan Duel Sports book; its leading iGaming platform, Fan Duel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, Fan Duel Racing; and its daily…