SumerSports

AI insights + over 600 years of NFL expertise.

Senior Football Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 11-50Since 2022Company SiteLinkedIn

Location

United States

Posted

17 days ago

Salary

Not specified

Postgraduate Degree4 yrs expEnglishPythonSpark

Job Description

• Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings • Conduct comprehensive data analysis to extract actionable insights • Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark • Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization • Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions • Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities

Job Requirements

  • Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience
  • 4+ years of experience in data science, preferably in a sports analytics environment
  • Proficiency in Python and experience with Databricks
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks
  • Documented experience in football analytics, demonstrated through industry experience, public content, or significant independent projects
  • Solid foundation in statistical modeling and machine learning methodologies
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits

  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

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