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Data Science Manager, Football

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment and sports betting experiences. They seek a Data Science Manager to lead a team focused on developing cutting-edge football models for theScore Bet and ESPN Bet, driving innovative sports betting solutions.

Skills

  • Expertise in NFL and/or NCAAFB data and football sports betting.
  • Strong knowledge of sports betting industry and terminology.
  • Experience in predictive modeling, simulation modeling, and latency reduction techniques.
  • Proficiency with data science tools such as SQL, Pandas, Numpy, SKLearn.
  • Hands-on experience with cloud platforms like AWS and GCP.
  • Familiarity with containerization tools (Docker, Kubernetes) and orchestration tools (Airflow, Argo Workflows, etc.).
  • Strong leadership, communication, and mentorship skills.

Responsibilities

  • Identify and prioritize impactful data science projects with clear goals and objectives.
  • Manage and mentor a team of data scientists, supporting their career growth.
  • Make decisions on project prioritization, workflows, tooling, modeling techniques, and deliverables.
  • Serve as the football subject matter expert ensuring data-driven solutions align with sport-specific best practices.
  • Apply sports betting and football data expertise to solve pricing and forecasting challenges.
  • Develop and maintain machine learning and statistical models for event outcome prediction.
  • Analyze and communicate predictive and prescriptive analytics on feature performance and forecasts.
  • Manage relationships with key stakeholders for projects in development and production.
  • Monitor and ensure stability and accuracy of data science projects in production.
  • Collaborate cross-functionally with executives to leverage data for insights and business value.
  • Develop best practices for internal data science processes including model building and latency improvements.
  • Design and implement predictive models and optimization routines with enterprise level impact.
  • Maintain technical documentation in git and confluence.

Education

  • Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.

Benefits

  • Competitive compensation package
  • Education and conference reimbursements
  • Parental leave
  • Career progression opportunities and mentoring support
  • Wellness programs supporting financial, physical, and mental well-being
  • Day-one medical coverage
  • 401(k) matching
  • Annual performance bonus and equity package
  • Paid time off with accrual increasing by length of employment
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$175000 / YEARLY (est.)
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$150000K
$200000K

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$150,000/yr - $200,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
July 24, 2025
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