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Freelance 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.

Qualifications Minimum Qualifications - Bachelor's degree or above in Data Science, Statistics ... sports business and connect business nuances with data. Preferred Qualifications - Excellent ...

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

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 ...

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 ...

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Freelance Data Science Sports information

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$14

$47

$132

How much do freelance data science sports jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance data science sports in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are some common challenges freelance data scientists face when working on sports analytics projects?

Freelance data scientists in the sports industry often encounter challenges like accessing high-quality, up-to-date datasets, as sports organizations may have strict data privacy policies. Additionally, communicating complex analytical findings to non-technical stakeholders, such as coaches or athletes, requires strong visualization and storytelling skills. Freelancers must also effectively manage their time and deliverables, as project scopes and timelines can change rapidly depending on client needs and sporting seasons.

What is a freelance data science sports professional?

A Freelance Data Science Sports professional is an independent contractor who uses data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze and interpret sports data. They work with sports organizations, teams, media companies, or betting agencies to help improve performance, make predictions, or extract insights from game statistics. Their projects can range from player performance analysis to developing predictive models for game outcomes. Freelance professionals typically manage their own workloads and clients, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a freelance data science sports professional?

To thrive as a Freelance Data Science Sports professional, you need solid statistical analysis skills, proficiency in data manipulation, and a strong understanding of sports analytics, typically supported by a degree in statistics, mathematics, or computer science. Mastery of tools such as Python or R, data visualization platforms, and experience with sports data APIs are highly valuable. Strong communication, problem-solving, and self-management skills help you effectively interpret data insights and manage client relationships. These skills are crucial for delivering actionable insights and maintaining client satisfaction in a dynamic, results-driven industry.

What is the difference between Freelance Data Science Sports vs Freelance Data Analysis Sports?

AspectFreelance Data Science SportsFreelance Data Analysis Sports
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, basic statistical analysis, reporting
Work EnvironmentProject-based, remote or on-site, collaboration with sports teams or companiesRemote or freelance projects, often with sports organizations or media
Industry UsageDeveloping predictive models, athlete performance analysis, sports analytics platformsGenerating reports, analyzing game data, providing insights

Freelance Data Science Sports involves advanced analytics, machine learning, and predictive modeling, often requiring programming skills. Freelance Data Analysis Sports focuses on interpreting data, creating reports, and providing insights with less emphasis on complex algorithms. Both roles serve the sports industry but differ in technical depth and scope.

More about Freelance Data Science Sports jobs
What cities are hiring for Freelance Data Science Sports jobs? Cities with the most Freelance 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 Freelance Data Science Sports jobs? States with the most job openings for Freelance Data Science Sports jobs include:
Infographic showing various Freelance Data Science Sports job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Junior Data Scientist- Philadelphia District

Aramark

Philadelphia, PA

Full-time

Posted 16 days ago


Aramark rating

5.9

Company rating: 5.9 out of 10

Based on 1,265 frontline employees who took The Breakroom Quiz

389th of 485 rated business services


Job description

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.

Please note this is an onsite position in Philadelphia and is not remote.  

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