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Senior Football Data Science Jobs (NOW HIRING)

Sr. Data Science Leader - iCloud

Cupertino, CA · On-site

$83 - $111/hr

We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes ...

What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications: * Bachelor's degree or equivalent related work or military experience * 2 years of experience in data ...

Senior Data Science Analyst

Brentwood, TN · On-site

$100K - $130K/yr

The Senior Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will design, develop, and deploy predictive models ...

They are seeking a Senior Manager of Data Science to lead a team of Data Scientists, improve data execution, and drive high-impact business opportunities for their Checking and Savings, Invest ...

These four domains apply to all aspects of building production data science, machine learning, and ... Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on ...

These four domains apply to all aspects of building production data science, machine learning, and ... Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on ...

The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes ...

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Senior Football Data Science information

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$16

$56

$81

How much do senior football data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for senior football data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Football Data Science vs Football Data Analyst?

AspectSenior Football Data ScienceFootball Data Analyst
Required CredentialsAdvanced degrees in data science, statistics, or related fields; experience with machine learningBachelor's or master's in data analysis, sports management, or related fields
Work EnvironmentResearch-focused, involves developing models and algorithms, often in a collaborative teamData collection, reporting, and visualization, often working directly with coaching staff
Employer & Industry UsageSports teams, analytics firms, media companiesFootball clubs, sports analytics companies, media outlets

Senior Football Data Scientists typically develop complex models and algorithms to analyze player and team performance, requiring advanced technical skills. Football Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are vital in the sports industry but differ mainly in technical depth and responsibilities.

More about Senior Football Data Science jobs
What cities are hiring for Senior Football Data Science jobs? Cities with the most Senior Football Data Science job openings:
What are the most commonly searched types of Football Data Science jobs? The most popular types of Football Data Science jobs are:
What states have the most Senior Football Data Science jobs? States with the most job openings for Senior Football Data Science jobs include:
Infographic showing various Senior Football Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 6% Physical, 20% Hybrid, and 74% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Scientist, Data Science - Hybrid

Senior Scientist, Data Science - Hybrid

XPO Logistics

Boston, MA • On-site

$106.38K - $132.98K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


XPO rating

7.1

Company rating: 7.1 out of 10

Based on 213 frontline employees who took The Breakroom Quiz

186th of 336 rated logistics


Job description

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.
What you'll need to succeed as a Senior Scientist, Data Science at XPO
Minimum qualifications:
  • Bachelor's degree or equivalent related work or military experience
  • 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
  • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
  • Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
  • Strong communication skills with a knack for translating complex AI concepts into clear business insights

Preferred qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
  • A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
  • years of hands-on experience in developing and deploying optimization solutions
  • 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
  • Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
  • Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
  • Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
  • Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
  • Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods

About the Senior Scientist, Data Science job
Pay, benefits and more:
  • Competitive compensation package
  • Full health insurance benefits are available on day one
  • Life and disability insurance
  • Earn up to 15 days of PTO over your first year
  • 9 paid company holidays
  • 401(k) option with company match
  • Education assistance
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:
  • Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
  • Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
  • You will be a thought leader for the practice of Data Science and Analytics across the organization
  • Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
  • Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
  • Communicate with technical and business-oriented audiences
  • Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
  • Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
  • Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
  • Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO

Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US