Penn National Gaming, Inc.

Senior Data Scientist

Job ID
Penn Interactive Ventures - Philadelphia
Regular Full-Time
Information Technology & Engineering


Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of Penn National Gaming (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. Through our partnership with Barstool Sports, we are hoping to continue to launch our online sportsbook and iCasino across the US.  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!


The Senior Data Scientist to work in the data science team as we build a best-in-class online/mobile sportsbook. The data science team is a relatively small team and you will have been a huge part in helping lead the charge towards having a data-driven engineering team. You should be excited by the possibility of utilizing the data we collect from our 42-retail casino and racetrack locations and be able to develop some hypotheses to test to improve our business.  We need someone who will walk through the door on day one with a clear idea of the theories they want to test, some thoughts on the potential models already in mind, and the self-motivation to jump in and get started building them. This role will be responsible for improving the data products already built but will also be responsible for spearheading new models and measurements.

Your daily responsibilities include

The following and other duties may be assigned as necessary:

  • Identify and specify data needs and quality requirements to support modeling
  • Research, design and implement descriptive, predictive, and inferential models using statistical and machine learning techniques.
  • Apply modern machine learning techniques to optimization and quality problems in gaming processes
  • Prototype and implement data products to create unique experiences for our users
  • Evaluate, document, and communicate research processes, analyses, and results to peers, and leadership


To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 21 years of age.


  • Curiosity and ability to convert complex problems into concrete requirements and build innovative solutions
  • University degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or similar field
  • Experience working in a software engineering team
  • 4+ years professional experience as a Data Scientist
  • Proficiency in Python and preferably also R
  • Proficiency in SQL
  • Experience in deploying data products in an enterprise environment
  • Ability to communicate clearly and efficiently with technical and non-technical stakeholders


  • You have a PhD in Data Science, Statistics, or a statistics-heavy discipline
  • Experience in building recommender systems
  • Experience in sequence-to-sequence modeling, especially as applied to time-series data or Natural Language Understanding applications
  • Experience with, or knowledge in, Bayesian methods
  • You bring a passion for sports or betting
  • You have experience with mobile/web games, entertainment apps and/or the gaming industry

Something to leave you with

Penn Interactive is committed to helping our team members live their best, healthy life. We offer unique and competitive benefits that help our team members stay healthy and safe.  Some of our competitive benefits include:


  • Flexible paid time off options and holiday time
  • A multi-carrier marketplace that has a wide array of medical, dental, and vision insurance options
  • 401K saving & matching program
  • Collaborate and flexible working environments





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