What are the responsibilities and job description for the Senior Data Scientist, NBA position at Penn Interactive?
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.
About the Role & Team
We are looking for a Senior Data Scientist to join our Data team. The Data Science team here at Penn 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 net new end-to-end sports data products to further our team's mission of creating a world-class, data-driven product experience.
About the Work
- Machine learning & statistical modeling : we want to be able to predict the likelihood or expected outcome of various events across different sports.
- AB Testing : we want data to inform the development of our products and features.
- Predictive & Prescriptive Analytics : we want to share in-depth knowledge on how our features are working and our forecasts are performing.
- Developing pipelines and developing models : we work closely with data and infrastructure engineers to deploy our models and develop required data pipelines to build data products.
- Develop best practices for our internal data processes that include model building, modeling techniques, improved latency, and readability.
- Design and build new predictive models and optimization routines that have an enterprise level impact. This varies from modeling expected sporting outcomes at an event level to utilizing various game state data to simulate full spectrums of expected outcomes.
- Collaborate with other members of the Data Science and Engineering teams on ways to approach problems, augment code, and share new techniques.
- Deploy modeling deliverables in conjunction with functional team leaders and stakeholders (in Product, Trading, etc.).
- Analyze results using solid statistical methods to iteratively improve data products.
- Communicate clearly, efficiently, and empathetically with technical and non-technical stakeholders.
- Write and maintain technical design and git / confluence documentation.
- Other duties as required.
About You
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Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry. Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.
