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September 14, 2026
Data Scientist, Market Making
Mid
98,000 - 152,250 USD/yr
Jersey City, NJ
Apply now
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.
THE POSITION
Develop, iterate, and deploy predictive models and algorithmic decision systems that power automated pricing and market making. Working closely with algorithmic traders, quant engineers, and product teams, translate sports, market, and operational data into models that improve price quality, execution quality, market competitiveness, and risk management. Flexibility is required around the sporting calendar, including occasional evenings, weekends, and holidays tied to major live events.
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 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
Player Benefits
- Health plans to choose from (some as low as $0 per paycheck), including fertility and family planning, mental health support, and fitness benefits
- Generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance)
- 401k with up to a 5% match, commuter benefits, pet insurance, and more (benefits differ across location, role, and level)
- Medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits
- May be eligible for short-term or long-term incentive compensation, including cash bonuses and stock program participation
- Paid personal time off and 14 paid company holidays
- Paid sick time in accordance with all applicable state and federal laws
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