Data Scientist, Market Making

FanDuel

$98K — $152K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science, analytics, or quantitative research
  • Bachelor's degree in Math, Stats, Econ, Computer Science, or Engineering
  • Strong skills in Python or R and SQL
  • Experience deploying models in production environments
  • Familiarity with market-making and sports-related data analysis

Responsibilities

  • Develop and deploy predictive models for automated pricing
  • Collaborate with traders and engineers to refine trading strategies
  • Manage data collection and model feature selection
  • Enhance pricing logic with sports data and market signals
  • Build tools for model backtesting and performance evaluation
  • Create data visualizations for model analysis and health monitoring
  • Work with teams to improve trading tools and systems

Benefits

  • Wide variety of health plans including mental health support and fitness benefits
  • Generous PTO policy and annual bonus opportunities
  • 401(k) matching up to 5%
  • Commuter benefits and pet insurance
  • Flexible work schedule accommodating sports events
Full Job Description
THE POSITIONOur 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 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
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer 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 - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

The applicable [salary] / [hourly] range for this position is $98,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

#LI-Hybrid

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