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Per Diem 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 ...

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 ...

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RETAIL PHARMACIST - PER DIEM (WEEKDAY & PTO COVERAGE) Century Drug & Surgical is seeking a dynamic ... An understanding of the patient demographic information, clinical data, and insurance information ...

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

Sr. Product Manager

$129K - $170K/yr

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

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RETAIL PHARMACIST - PER DIEM (WEEKDAY & PTO COVERAGE) Century Drug & Surgical is seeking a dynamic ... An understanding of the patient demographic information, clinical data, and insurance information ...

Per Diem Nurse

Oakland, CA · On-site

$60.10 - $62.60/hr

Collects and analyzes assessment data to formulate resident care problems, individualized outcomes ... Per Diem; number of shifts will vary * Monday - Friday; 8:30am - 4:30pm (Sonoma) * Monday - Friday ...

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model ... Hybrid - 3 days in office per week but this can be slightly flexible Targeted Years of Experience ...

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Per Diem Football Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do per diem football data analytics jobs pay per year?

As of Jul 13, 2026, the average yearly pay for per diem football data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between Per Diem Football Data Analytics vs Football Data Analyst?

AspectPer Diem Football Data AnalyticsFootball Data Analyst
CredentialsTypically requires a degree in sports analytics, statistics, or related fieldSimilar educational background, often with additional certifications in data analysis or sports management
Work EnvironmentTemporary, game-by-game or event-based assignments, often freelance or contractFull-time or part-time employment within sports teams, organizations, or media outlets
Employer & Industry UsageUsed by sports teams, leagues, or media for short-term projects or game analysisEmployed by teams, broadcasters, or analytics firms for ongoing data analysis roles

Per Diem Football Data Analytics involves short-term, event-based work often on a freelance basis, focusing on specific games or events. In contrast, Football Data Analysts typically hold ongoing roles within organizations, providing continuous data insights. Both roles require similar skills and educational backgrounds but differ mainly in employment type and work structure.

What cities are hiring for Per Diem Football Data Analytics jobs? Cities with the most Per Diem Football Data Analytics job openings:
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 Per Diem Football Data Analytics jobs? States with the most job openings for Per Diem Football Data Analytics jobs include:

Full-time

Medical, Retirement

Re-posted 21 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