Senior Football Data Scientist

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🕒 February 26

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SumerSports

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

⚽ Sports

🤖 Artificial Intelligence

☁️ SaaS

Sports • Artificial Intelligence • SaaS

SumerSports is an AI-powered sports analytics and technology company focused on football (NFL and NCAA). Combining over 500 years of NFL experience with machine learning, SumerSports offers products such as SūmerBrain for film retrieval and multi-layered data, SūmerLive for game tracking, SūmerNFL and SūmerNCAA for roster building and team optimization, and a player-verified metrics and talent exposure platform. The company produces draft guides, analytics-driven content with former scouts and Hall of Famers, and tools that serve players, teams, and fans to improve scouting, roster decisions, and performance evaluation.

📋 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

🎯 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