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Data Scientist, Market Making

FanDuel
Location
Jersey City, New Jersey, United States
Posted
16 days ago
Department
Risk & Trading
Salary
$98,000 - $152,250
What they actually want (must-haves)
  • Experience in data science, analytics, quantitative research, or engineering
  • 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
  • Strong verbal and written communication skills
  • Comfortable with command line tools, GitHub, and object-oriented design and coding
Nice to have
  • Experience with simulation or back testing
  • Interest or experience in sports betting, prediction markets, DFS, or fantasy sports
  • Familiarity with pricing dynamics, market behavior, or real-time decision environments
What the job really is

As a Data Scientist in Market Making at FanDuel, you will be responsible for developing and deploying predictive models and algorithmic decision systems that enhance automated pricing and trading. You will collaborate with algorithmic traders and quant engineers to refine models, manage data preparation, and conduct performance analysis, all while adapting to the dynamic sports calendar. This role requires flexibility in your schedule and involves creating tools and dashboards to monitor model performance and improve trading strategies.

Benefits
  • Array of health plans including programs for 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
Things to weigh
  • Flexibility required around the sporting calendar, including occasional evenings, weekends, and holidays
  • Role involves collaboration across teams, locations, and time zones
  • No specific mention of the tech stack beyond Python, R, and SQL
Job score4.6/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency5/5

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