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 Work We are looking for a talented and experienced Data Science Manager to join our team. We are looking for someone who is interested in leading the development of projects, testing the execution and delivery, and measuring the ultimate impact to our business. You will be responsible for leading and mentoring a team of data scientists who will build models which enhance personalization efforts, forecast key metrics, segment customer targets and automate solutions for internal teams and our online gaming customers. Things our team will be working on : Recommendation engines: Data scientists can build recommendation engines to suggest bets to users based on their past betting history and other factors, such as their favorite teams and sports. This can help users to find bets that they are more likely to win and to increase the overall betting experience Player clustering and classification: Data scientists can use clustering and classification algorithms to group players into different categories based on their betting behavior. This information can be used to tailor marketing and promotional campaigns to specific groups of players and to identify potential problem gamblers A/B feature testing: Data scientists can use A/B feature testing to test different versions of the sportsbook website and app to see which ones perform better. This information can be used to improve the user experience and to increase the number of bets that are placed Document classification and extraction: Data scientists can use natural language processing (NLP) techniques to classify and extract information from documents, such as news articles and social media posts. This information can be used to identify trends in the betting market, to identify potential fraud, and to generate insights for the sportsbook's traders Sentiment analysis: Data scientists can use sentiment analysis to identify the sentiment of users on social media and other online platforms. This information can be used to understand public opinion about the sportsbook and to identify potential problems Responsibilities Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning Setting the vision and strategy for the Data Science team Developing and managing the team's budget Hiring, training, and mentoring team members Communicating with stakeholders across the organization about the Data Science team's work Presenting the team's findings to both technical and non-technical audience Collaborating with Data Engineering, Business Intelligence, and other stakeholders to provide internal data services Testing the performance of our products and features to guide the growth and development of the application Requirements University degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field Experienced technical lead for the data science team, with experience mentoring team members Experience in software engineering or operations, especially in a Dockerized development environment 4+ years professional experience as a Senior Data Scientist with some management experience A strong foundation in mathematics and statistics is essential Proficiency in Python Advanced knowledge in cloud computing across AWS, GCP, or Azure, with a preference for GCP An understanding of software engineering principles and practices can be helpful in deploying data products in an enterprise environment Curiosity and ability to convert complex problems into concrete requirements and build innovative solutions Ability to communicate clearly, efficiently, and empathetically with technical and non-technical stakeholder What We Offer Competitive compensation package Fun, relaxed work environment Education and conference reimbursements. Parental leave top up Opportunities for career progression and mentoring others Recently being recognized as a top workplace in the United States, w e 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. #J-18808-Ljbffr