What are the responsibilities and job description for the Data Scientist, NBA position at Penn Interactive?
Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ : PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed. We believe that hiring talented individuals that love what they do will help us win!
About the Role & Team
We are looking for a Mid-Level 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
Nice to Have
What We Offer
Check out our LinkedIn page!
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.
