Data Science Co-op

theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company's home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.

Work-term: January 6, 2025 - April 25, 2025

Number of Openings: 1

Hiring Teams:

• NFL

About the Role & Team
We are looking for a Data Science Co-op to join our Data 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

• 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)
• 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

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.