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Work From Home Football Data Science Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... You will work on converting existing R models to Python as part of your initial responsibilities.

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

Asana

Data Scientist

San Francisco, CA · On-site +1

$171K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and ... Excellent written and oral communication are required as is the ability to work well in a team ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... If you will be working at home occasionally or permanently, the internet connection must be ...

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... If you will be working at home occasionally or permanently, the internet connection must be ...

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... If you will be working at home occasionally or permanently, the internet connection must be ...

Cigna

Data Science Advisor - Hybrid

Austin, TX · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... If you will be working at home occasionally or permanently, the internet connection must be ...

Sundays for Dogs

Senior Data Scientist

While there is tremendous opportunity to apply advanced data science techniques, this role will ... Annual work-from-home stipend - set up your workspace for success. * Competitive Medical, Dental ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... A hybrid work schedule indicates that you work in the office some days and work from home other ...

Quanta Search

Data Scientist

Chicago, IL · Remote

The data science team consists of highly motivated and experienced data scientists and they are a ... work from home Casual work environment A large variety of projects to work on You'll get to know ...

The Jernigan Agency

WORK FROM HOME

Hoboken, NJ · On-site +1

We use data driven systems and cutting edge lead generation that gets you connected with interested ... Occasional travel for work for in-person conferences. If you are not currently licensed but have a ...

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Work From Home Football Data Science information

What are some common challenges faced by remote football data scientists, and how can they be overcome?

Remote football data scientists often encounter challenges such as limited direct access to coaching staff or analysts, which can make it difficult to fully understand context behind datasets. Additionally, collaborating across time zones and ensuring data security while working from home are common concerns. These challenges can be addressed by establishing clear communication channels, participating in regular virtual meetings, and using secure, cloud-based collaboration tools. Proactively seeking feedback and staying updated with the latest football analytics trends can also enhance effectiveness in this role.

What is a Work From Home Football Data Science job?

A Work From Home Football Data Science job involves analyzing football-related data, such as player statistics, match outcomes, and tactical information, from a remote location. Professionals in this role use statistical models, programming, and data visualization tools to uncover insights that can help teams, coaches, or organizations make informed decisions. The job typically requires strong analytical skills, proficiency in data science tools like Python or R, and a deep understanding of football. Working remotely allows for flexibility, but also requires good communication and self-management skills.

What are the key skills and qualifications needed to thrive as a Work From Home Football Data Scientist, and why are they important?

To thrive as a Work From Home Football Data Scientist, you need strong statistical analysis, programming (typically in Python or R), and a solid understanding of football analytics, usually supported by a relevant degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and experience with sports data platforms are highly valuable. Excellent communication, self-motivation, and problem-solving skills help you interpret data insights and collaborate remotely with stakeholders. These skills and qualities ensure you can deliver actionable analyses that drive football performance improvements and support data-driven decisions from a remote setting.
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Work From Home Football Data Science jobs near you
Infographic showing various Work From Home Football Data Science job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 6 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

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