Data Scientist, Market Making

THE POSITION

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.

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 back testing, 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 results

THE STATS
What 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, GitHub, and object-oriented design and coding
Flexible schedule including occasional evenings, weekends, and holidays based on the sporting calendar.