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 Data Scientist to join our analytics team. The ideal candidate will possess strong expertise in Python, Databricks, and Spark, with a solid understanding of R. You will play a critical role in deploying machine learning models and statistical analyses to provide valuable insights for football analytics. This role requires a self-starter who can work independently, own projects, and drive them across the finish line, with a keen interest in football and/or the fantasy/betting market.

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: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Master’s or PhD is preferred.
• Experience: 3+ years of experience in data science, preferably in a sports analytics environment.
• Technical Skills:
• • Proficiency in Python and experience with Databricks.
  • Strong knowledge of Spark for handling large datasets.
  • Familiarity with R is preferred.
  • Experience in productionizing machine learning or statistical models.
• Other Skills:
• • Highly motivated, self-starter with excellent problem-solving skills.
  • Ability to work independently, own projects, and drive them across the finish line with minimal supervision.
  • Strong communication skills, capable of telling a compelling data-driven story to nontechnical stakeholders.
  • Passion for football and/or experience in the fantasy/betting market is highly desirable.

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