Sr. Football Data Scientist

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia. Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more. What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football. We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment. Responsibilities Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities. Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization. Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions. Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities. Qualifications Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience. Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience) Technical Skills: 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. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos. 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