Technology Development Program - Data Science (2026)

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:

ABOUT THE COMPANY

At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICK’S Sporting Goods, you’re joining a true team that wins together. We help our Athletes and fellow Teammates better their best by innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park.

ABOUT THE TDP

The Technology Development Program (TDP) will expose you to key areas of the Data Science and/or the Data & Analytics Engineering spaces to learn via practical application and on-the-job training. The TDP is a rotational program in which you will complete no less than three 5-month rotations on various teams supporting our Data Science and Data & Analytics Engineering initiatives. This is a full-time exempt role with an annual salary, bonus, as well as full benefits package. The TDP provides experiences that will allow you to: develop functional and leadership skills by working alongside experts within your teams, gain exposure to cross-functional areas of our business, contribute to the business initiatives and activities prioritized by your teams, and interact with teammates across all levels of the organization, including Senior Executives. Upon completing this 15-18 month structured program, you will be placed into a full-time role based on business need, as well as your overall performance throughout the rotations and specific areas of interest. 

ABOUT THESE TRACKS

The TDP provides custom experiences for individuals with a variety of backgrounds in the technology space, including software engineering, cyber security, and data science. There are two specific tracks within the Data Science space that TDPs may explore: Data Science and Data & Analytics Engineering. The rotations in each of these tracks will be different, with separate objectives and long-term goals. Upon submitting an application, individuals will be placed in one of these tracks based on background, education, experience, and interest.

DATA SCIENCE RESPONSIBILITIES

Data-driven Product and Service Improvement

Research data from digital product/service performance, customer behavior, and market trends to identify opportunities for product/service improvement with guidance from other teammates.

Advanced and Predictive Analytics

Run advanced and predictive analyses and perform model assessments, validation, and enhancement activities, using predictive analytics' software tools and functionalities.

Advanced Data Collection and Analysis

Conduct advanced data collection and analysis using pre-set tools, methods and formats.

Data Exploration

Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.

Data and Analytics Strategy

Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.

Performance Improvement through Business Intelligence

Support creation of machine learning models by applying standard statistical analysis or data preparation methods.

Data Architecture

Consult and support the education of stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.

Functional/Technical Requirements

Understands business functional requirements using document analysis, and workflow analysis to express requirements clearly and succinctly.

Machine Learning Operations

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.

Horizon Scanning

Explore and develop a basic understanding of external developments or emerging issu