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Full Time Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

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

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

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 ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the ... football philosophy and supports the broader game model. • Champion ongoing research and ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... * Full-time, 40-hour workweek with flexibility for mission requirements. * Travel: Candidates ...

RWE

Data Analytics Lead

Chicago, IL · On-site

RWE Americas, LLC To start as soon as possible, full time, permanent Functional area: IT / Digital; ... Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ...

RWE

Data Analytics Lead

Oakland, CA · On-site

RWE Americas, LLC To start as soon as possible, full time, permanent Functional area: IT / Digital; ... Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ...

RWE

Data Analytics Lead

Austin, TX · On-site

RWE Americas, LLC To start as soon as possible, full time, permanent Functional area: IT / Digital; ... Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ...

Ameren Services

Data Analytics Coop

Saint Louis, MO

$21 - $30/hr

Visit our Benefits & Perks Page for more information on benefits provided to regular, full-time ... Qualifications Current student status pursuing a Bachelor's or Master's degree in Data Analytics ...

RWE

Data Analytics Lead

Austin, TX · On-site

RWE Americas, LLC To start as soon as possible, full time, permanent Functional area: IT / Digital; ... Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ...

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How much do full time football data analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time football data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Football Data Analytics vs Part Time Football Data Analytics?

AspectFull Time Football Data AnalyticsPart Time Football Data Analytics
CredentialsBachelor's in Sports Analytics, Data Science, or related field; experience with sports data toolsSimilar credentials, often with less experience required
Work EnvironmentFull-time employment, office or stadium setting, regular hoursFlexible hours, freelance or contract basis, remote options
Industry UsageEmployed by clubs, leagues, or sports analytics firmsFreelance consultants, part-time contractors, or hobbyists

Full Time Football Data Analytics involves dedicated, full-time roles with consistent hours and employer benefits, often within clubs or sports organizations. Part Time Football Data Analytics offers flexible, project-based work suitable for those balancing other commitments. Both roles require similar skills and credentials but differ mainly in commitment level and work setting.

What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Full Time Football Data Analytics jobs? States with the most job openings for Full Time Football Data Analytics jobs include:
Full Time Football Data Analytics jobs near you

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 20 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

Apply