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Data Scientist

FanDuel

$116,000 - $145,000
Sep 10, 2025
Jersey City, NJ, US
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FanDuel is looking to optimize its Sportsbook customer generosity distribution and bonus spend through data-driven decision making.

Requirements

  • Minimum of 3+ years of previous Data Science or Analytics Experience
  • Minimum 1+ years building and deploying complex machine learning models with real world applications
  • Proficient in SQL and experience of manipulating large datasets in Microsoft Excel
  • Proficient in statistical or programming software and techniques (e.g. in Python, R, C-Sharp, VBA, etc.)
  • Experience working with data visualization tools like Tableau an advantage
  • Undergraduate degree in a numerate or technical discipline
  • Interest in sports is a plus
  • Interest or experience in the Sports betting industry is an advantage

Responsibilities

  • Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence
  • Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution
  • Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend
  • Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs
  • Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines
  • Assist in coaching, developing and performance managing less experienced team members
  • Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience

Other

  • Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
  • Minimum of 3+ years of previous Data Science or Analytics Experience
  • Proficient in statistical or programming software and techniques (e.g. in Python, R, C-Sharp, VBA, etc.)
  • Undergraduate degree in a numerate or technical discipline
  • Interest in sports is a plus
  • Interest or experience in the Sports betting industry is an advantage