PENN Entertainment, Inc. [https://www.pennentertainment.com/] 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 [https://about.espnbet.com/], Hollywood Casino, theScore Bet
Sportsbook & Casino [https://thescore.bet/], or theScore
[https://www.thescore.com/] 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: January 5, 2026 - April 24, 2026
Number of Openings: 1
About the Role & Team
We are looking for a Data Science Co-op to join our Football Sports Modeling
Data team. Our Sports Modeling team Penn is responsible for building models,
forecasts, and simulations to help improve theScore Bet and ESPN Bet 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 an
enterprise grade foorball data product.
About the Work
- Football Data Analysis: Assist in analyzing NFL/NCAAFB play-by-play, player,
and team data to help evaluate game trends, player performance, and matchup
dynamics.
- Model Building: Support the development and testing of predictive models for
football outcomes (e.g., player stats, game results, betting markets).
- Data Pipeline Support: Work with data and infrastructure engineers to ensure
football data is collected, cleaned, and processed for modeling and
analysis.
- Research & Documentation: Conduct research on football rules, strategies, and
historical data; maintain clear documentation of data sources, features, and
project progress.
- Collaboration: Partner with data scientists to debug code, add features, and
explore new approaches for football analytics.
- Communication: Share findings on football trends, player or team insights,
and model performance with the team in a clear and concise way.
- Other duties as required.
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 NFL/NCAAFB)
- 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
Penn Interactive 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.
