Data Scientist at theScore

Join theScore, a wholly-owned subsidiary of PENN Entertainment, and become part of a team that empowers millions of sports fans with cutting-edge digital media and sports betting products. Our popular media app, ‘theScore’, delivers personalized live scores, news, stats, and betting information to North American sports enthusiasts. Meanwhile, ‘theScore Bet Sportsbook & Casino’ offers an immersive mobile sports betting and iCasino experience, currently live in Ontario.

About the Role & Team

We are seeking a Mid-Level Data Scientist to join our dynamic Data team. At Penn, the Data Science team plays a crucial role in developing models, forecasts, and simulations to enhance theScore Bet, ESPN Bet, and iCasino products. As part of this innovative team, you'll contribute to building end-to-end sports data products that aim to deliver a world-class, data-driven product experience.

Key Responsibilities

• Machine Learning & Statistical Modeling: Predict the likelihood and outcomes of various sports events.
• AB Testing: Utilize data to refine product features.
• Predictive & Prescriptive Analytics: Deliver deep insights into feature performance and forecasts.
• Model Development: Collaborate with data and infrastructure engineers to deploy models and build data pipelines.
• Best Practices: Develop internal data processes for model building, improved latency, and readability.
• New Predictive Models: Design and build new models with enterprise-level impact, from event-level outcomes to game state simulations.
• Inter-team Collaboration: Work closely with the Data Science and Engineering teams to solve problems and share techniques.
• Stakeholder Engagement: Deploy modeling deliverables in coordination with team leaders and stakeholders in Product and Trading.
• Iterative Improvement: Analyze results using robust statistical methods to continually enhance data products.
• Documentation: Write and maintain technical design and documentation on Git/confluence.
• Other duties as required.

About You

• Experience solving quantitative problems with MLB, NBA, or NFL data.
• Profound understanding of sport-specific problem-solving techniques.
• Ability to project various aspects of player and team performance dynamically.
• Proficiency in developing game simulations that mimic real sports dynamics.
• Expertise in Python and SQL for generating meaningful insights.
• Experience creating algorithms and applying machine learning models to sports data.
• Capable of collaboratively iterating on data science products.
• Knowledge of classification, regression, forecasting models, and A/B testing.
• Experience provisioning services using GitHub.
• Ownership of work to deliver high-level objectives.

Nice to Have

• Familiarity with MLFlow.
• Experience with AWS/GCP.
• Experience setting up ML CI/CD pipelines, managing databases, and deploying models.
• Knowledge of Docker, Kubernetes through Terraform, and Cloudwatch.

Candidates residing in Ontario requiring special accommodation can email

theScore is committed to fostering a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

Company Name: theScore

Job Title: Data Scientist