Data Scientist, Market Making
About The Position
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.
Requirements
- 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
- 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, GitHub, and object-oriented design and coding
- Flexible schedule including occasional evenings, weekends, and holidays based on the sporting calendar
Nice To Haves
- Experience with simulation or back testing is a plus
Responsibilities
- 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
Benefits
- Array of health plans to choose from (some as low as $0 per paycheck)
- Programs for fertility and family planning
- Mental health support
- Fitness benefits
- Generous paid time off (PTO & sick leave)
- Annual bonus
- Long-term incentive opportunities (based on performance)
- 401k with up to a 5% match
- Commuter benefits
- Pet insurance
- Medical insurance
- Vision insurance
- Dental insurance
- Life insurance
- Disability insurance
- 401(k) matching program
- Short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation
- Paid personal time off
- 14 paid company holidays
- Paid sick time in accordance with all applicable state and federal laws
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
