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Overnight Football Data Analytics Jobs (NOW HIRING)

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

Stay current on emerging trends in football analytics, machine learning, artificial intelligence ... Must be able to work a flexible schedule, inclusive of weekends, nights (event evenings & overnight ...

Responsibilities : • Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract ...

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

Head Of Data & Analytics Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S ... While our community is our foundation, our love of football is our reason for being. We have the ...

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ... Performance & Football Intelligence * Translate raw match, event, and tracking data into meaningful ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Typically requires overnight travel less than 10% of the time. * Education and Experience

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. * Education and Experience

... Analysis & Data Storytelling Omni Channel Experience Business Acumen Experience AI Analysis ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

... Analysis & Data Storytelling Omni Channel Experience Business Acumen Experience AI Analysis ... Typically requires overnight travel 20% to 50% of the time. * Education and Experience * Typically ...

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into powerful insights. Our exclusive player grades, advanced metrics, and tools fuel winning decisions for ...

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Full-time

Medical, Retirement

Posted 16 days ago


Job description

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