Job Url: https://www.remoterocketship.com/company/penn-interactive/jobs/data-scientist-united-states-remote Job Description: Penn Interactive Website LinkedIn All Job Openings Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia with offices in Greenfield, MA, and Cherry Hill, NJ. As the digital arm of PENN Entertainment (NASDAQ: PENN), North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences, we are poised for fast-paced growth in the sports betting and online casino space. We have teamed up with Barstool Sports and theScore to create a unique and exciting sports betting experience through our retail books and the Sportsbook mobile apps. Casual Games • Social Games • Game Design • Developers • Online Games 201 - 500 employees Data Scientist 23 hours ago 🔔 Pennsylvania – Remote 💵 $90k - $150k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • 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. 🎯 Requirements • 4+ Years of experience working as a Data Scientist • Experience solving quantitative problems with MLB Sports modelling data. • A firm grasp of utilizing sport-specific problem-solving techniques to model various elements of the game. • The ability to dynamically project various aspects of player and team performance. • Proficiency in developing simulations replicating the dynamics and intricacies of a sporting game. • Proficient at writing code in Python and SQL to create meaningful insights. • Experienced at creating algorithms, features, and applying machine learning data models to solve sports problems. • Collaboratively iterative on data science products in an experimental fashion to rapidly adapt and improve products. • Understanding of classification, regression and forecasting models, and A/B testing. • Experience provisioning services using GitHub. • Ability to take ownership of your work to achieve the necessary high-level objectives. 🏖️ Benefits • Competitive compensation package • Education and conference reimbursements • Opportunities for career progression and mentoring others Apply Now