Data Scientist, MLB Sports Modeling (Coop) - F2025

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

Work-term: September 2, 2025 - December 19, 2025

Number of Openings: 1

Hiring Teams: 

• MLB Sports Modeling

Interview Notes:

• Technical assignment to be sent prior to interviews.

About the Team:
Our Data Science team is responsible for building models, forecasts, and simulations to help improve theScore Bet, ESPN Bet, and iCasino products. Our team values creativity, collaboration, ingenuity, and ownership. We are looking for someone who is interested in joining a team responsible for building end-to-end sports data products to further our team’s mission of creating a world-class, data-driven product experience.

About the Work:

• Data Analysis: Assist in analyzing sports data to inform the development of our products and features.
• Model Building: Help build and test predictive models to forecast various sports outcomes.
• Support Pipeline Development: Work closely with data and infrastructure engineers to support data pipeline development.
• Research & Documentation: Conduct research and help maintain documentation for data science projects.
• Collaboration: Collaborate with team members to approach problems, augment code, and share new techniques.
• Communication: Communicate findings and insights clearly and efficiently with team members.

About You:

• Currently enrolled in a Computer Science degree, Statistics, Business, or related field.
• Coding Skills: Moderate proficiency in Python and SQL.
• Data Skills: Able to handle data wrangling skills around JSON and tabular data.
• Analytical Skills: Strong problem-solving skills with an interest in sports data.
• Team Player: Ability to work collaboratively in a team environment.
• Eager to Learn: Enthusiastic about learning new techniques and technologies in data science.
• Nice to Have:
  • Familiarity with Machine Learning: Familiarity with machine learning concepts and techniques.
  • Experience with Sports Data: Any experience or coursework related to sports data analysis (specifically for MLB)
  • Cloud Knowledge: Familiarity with cloud services like AWS or GCP.
  • Version Control: Basic knowledge of version control systems like GitHub.

What We Offer:

• Fun, relaxed work environment
• A voice. We're dedicated to open communication which empowers our employees to drive the company's culture
• A company that encourages a culture of inclusion and diversity
• Opportunity to work on large scale consumer-facing applications with millions of users
• Career growth.
• Mentorship from some of the brightest people in the industry

Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com

theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.