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Data Science Sports Jobs (NOW HIRING)

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

Master's degree in Data Science, Statistics, Computer Science, Analytics, or a related field preferred. * 2-4 years of professional experience in data analytics, data science, sports analytics, or a ...

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... This role is ideal for someone early in their data science career who is eager to expand their ...

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

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Data Science Sports information

What are the key skills and qualifications needed to thrive in the Data Science Sports position, and why are they important?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software. Data analysts in sports may work closely with coaches and scouts to provide insights that enhance team performance.

How much does a sports data scientist make?

A sports data scientist typically earns between $60,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those in major sports organizations can offer higher salaries, often exceeding $150,000. Skills in data analysis, machine learning, and familiarity with sports analytics tools are important for this role.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. They often work with statistical analysis, machine learning tools, and sports data platforms in a fast-paced environment.

What is a Data Science Sports job?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What are the typical day-to-day responsibilities of a Data Science Sports professional?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

Do data scientists work in sports?

Data scientists in sports analyze large datasets related to player performance, game strategies, and fan engagement to inform decision-making. They often use tools like Python, R, and SQL, and work with sports teams, leagues, or sports analytics companies to improve outcomes and optimize operations.
More about Data Science Sports jobs
What cities are hiring for Data Science Sports jobs? Cities with the most Data Science Sports job openings:
What are the most commonly searched types of Data Science Sports jobs? The most popular types of Data Science Sports jobs are:
What states have the most Data Science Sports jobs? States with the most job openings for Data Science Sports jobs include:
Infographic showing various Data Science Sports job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Junior Data Scientist- Philadelphia District

Aramark

Philadelphia, PA • On-site

Full-time

Posted 7 days ago


Aramark rating

5.9

Company rating: 5.9 out of 10

Based on 1,256 frontline employees who took The Breakroom Quiz

392nd of 488 rated business services


Job description


Junior Data Scientist- Philadelphia, Data Science - Sports + Entertainment
Aramark Sports + Entertainment is hiring a Junior Data Scientist based in Philadelphia to support our Sports + Entertainment portfolio, including the Philadelphia Phillies, Philadelphia Eagles, Philadelphia Union, and other regional venues, to support data analysis of food and beverage trends. This position will focus on data governance, advanced analysis and modeling, and data-backed recommendations to maximize opportunity.
About Data Science Group
The Data Science division is the epicenter of data analytics, uncovering impactful insights that put Aramark clients in the sports and entertainment industry ahead of the curve. Using leading-edge technology and analytics, Data Science synthesizes operational and consumer data to optimize strategies that enhance the guest hospitality experience and blaze a trail for innovation. Through continuous expansion of analytical capabilities and a comprehensive method of understanding the industry at large, Data Science harnesses the power of data as the most strategic asset in maximizing value for consumers, operators, and businesses alike.
Job Responsibilities
• Analyze consumer behavior across Philadelphia venues by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences.
• Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations.
• Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations.
• Support the development of automated reporting workflows that deliver key performance metrics to stakeholders across Philadelphia-area venues, including Citizens Bank Park, Lincoln Financial Field, Subaru Park, and more.
• Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives.
• Assist in the development of AI-powered applications and agentic workflows that automate operational tasks, orchestrate business processes, and deliver actionable recommendations to end users.
• Perform machine learning experiments and model evaluation tasks under the guidance of the team's Senior Manager of Data Science.
Qualifications
• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field; equivalent practical experience may be considered.
• 1-3 years of experience in an analytical or data science role.
• Proficiency in data manipulation and transformation using Python or R.
• Familiarity with SQL for data querying and analysis.
• Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling.
• Effective organizational and time management skills, with the ability to manage multiple projects simultaneously.
• Solid understanding of statistics, experimental design, and core data science concepts.
• Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences.
Preferred Qualifications:
• Master's degree in a quantitative discipline.
• Experience with data visualization tools (e.g., Power BI) and interactive app development (e.g., Streamlit, RShiny) is a plus.
• Familiarity with cloud-based data platforms (e.g., Snowflake) is a plus.
• Working knowledge of Git and version control best practices is a plus.
• Experience building AI agents or agentic workflows is a plus.
About Aramark
Our Mission
Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.
At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.
About Aramark
The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.

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About Aramark

Sourced by ZipRecruiter

The people of Aramark proudly serve millions of guests every day through food, facilities, and uniform services in 19 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at or connect with us on Facebook, Instagram and Twitter.

Industry

Hospitality services and facilities support services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US