Data Science - Summer 2026 Corporate Internship

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams.  We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

At DICK’S Sporting Goods, interns have the opportunity to work with and learn from the leaders of a growing Fortune 400 company.  DICK’S Sporting Goods is returning to campus this year; to recruit, train and develop top collegiate talent to help fuel the Digital Transformation of a multi-billion-dollar omni-channel business.

During the 11-week summer experience, interns will embark on a meaningful journey and make tangible contributions to the organization’s success. This structured and well-organized program provides on-the-job training, mentorship, classroom instruction, cross-functional departmental exposure and an end-of-program project presentation

The Data Science Intern will learn to analyze data to draw insights, patterns and conclusions. Interns may build new machine learning models or enhance existing machine learning products for the business under the supervision of senior Data Science teammates. They will apply modeling techniques and analytical processes including data cleaning, data interpretation, machine learning, forecasting, pattern identification and trend analysis. They may study product and process-related data, environmental conditions, competitor behavior or other data sources. Potential placements include teams in Data Science, Analytics and Data Engineering.

Day to Day Responsibilities:
•    Collaborate and pair with other internal DSG teams (Data Scientists, Data Engineers, Data Architects)  
•    Research data from digital product/service performance, customer behavior, and market trends to identify opportunities for product/service improvement with guidance from other teammates.
•    Run predictive analyses and machine learning models. Perform model assessments, validation, and enhancement activities, using predictive analytics software, tools and functionalities.
•    Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.

•    Support creation of machine learning models by applying standard statistical analysis or data preparation methods.
•    Learn to use source control systems and write prod supportable code. Learn the concepts of deploying machine learning models within a machine learning platform. Research machine learning libraries and models.
•    Explore and develop a basic understanding of external developments or emerging issues within the field of data science.

Some of your experiences will include:
•    Multi day intern orientation to introduce you to the company, the program, Pittsburgh, and your classmates
•    Professional development workshops designed to increase your knowledge of the company and the retail industry, as well as develop their business acumen and office professionalism
•    Extensive exposure to our senior leadership through our exclusive intern only Executive Speaker Series which includes a private meet & greet with our CTO & CEO 
•    Working with a diverse group of talent within DSG, and learning how collaboration across multiple technology domains looks like in a world class enterprise technology function.
•    Opportunities to “live the brand” and experience summer fun outside the office through various events
•    Working a 40 hour work week, Monday – Friday

Skills we are looking for:
•    Exposure to modern programming languages, particularly Python
•    Experience with Agile Development and knowledge of Agile Deployment tools and versioning using Git or similar tools
•    Experience in a Linux or Unix based environment
•    A competitive spirit with a passion for results
•    Demonstrated leadership skills and the ability to independently make data-driven recommendations
•    Dynamic written and verbal communication style, as well as ability to communicate cross functionally and vertically throughout the organization, with an emphasis on data storytelling and visualization
•    Ability to work in a fast paced and iterative environment
•    Someone enthusiastic about helping athletes (customers) and teammates (employees) and passionate about technology
•    Someone who cares about people and how work gets done
•    Someone who is solution orientated, curious