Data Scientist, Market Making

SQL Python

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Our roster has an opening with your name on it

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. This role requires flexibility around the sporting calendar, including occasional evenings, weekends, and holidays tied to major live events.

In 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.

Everyone on our team has a part to play

• 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

• 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
• 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 results

What we're looking for in our next teammate

• 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

• 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
• 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 calendar

••••••
• Group is the premier mobile gaming company in the United States and Canada. ••••••
• Group consists of a portfolio of leading brands across mobile wagering including:
America’s #1 Sports book, ••••••
• Sports book; its leading iGaming platform, ••••••
• Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, ••••••
• Racing; and its daily fantasy sports product.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

••••••
• Group is a subsidiary of Flutter Entertainment, the world's largest sports betting…