Data Science Manager, Football at Score Media and Gaming INC
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

24 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

Responsibilities

We are looking for a Data Science Manager to lead a team of data scientists The Data Science team here at 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 building and enhancing an industry leading football (NFL / NCAAFB) model for theScore Bet and ESPNBet football product. This position is a rare opportunity enabling a highly motivated candidate to make a significant impact on an enterprise grade football data product.

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