Staff Data Scientist

theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company’s home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.

About the Role & Team 
On the Analytics & Data Science team at theScore, our mission is to develop high-quality and sustainable data-driven solutions that improve profitability, growth, and the user experience for ESPN Bet.  As a Staff Data Scientist specializing in Personalization, you’ll play a key role in designing and implementing innovative personalization strategies that drive significant impact on user engagement and satisfaction. You’ll leverage your deep understanding of data science principles, techniques, and tools, as well as your proven expertise in personalization engines, to design, build, and deploy sophisticated models that deliver the right content, to the right user, at the right time. 

The ideal candidate possesses strong modeling and technical skills, a passion for rigorous statistical analysis, a background in developing and deploying high-impact personalization engines, and a genuine interest in the world of professional sports, betting, and esports. 

About the Work 

• Serve as a technical leader within the team, fostering a collaborative and innovative environment
• Partner with stakeholders to deeply identify business problems that can be solved through impactful personalization initiatives
• Utilize your mastery of recommender systems, two-tower models, and other advanced personalization techniques to architect, build and deploy high-impact solutions that strategically advance the ESPN Bet and theScore product strategies
• Take full ownership of critical components within data science projects, defining the roadmap and leading cross-functional teams
• Collaborate with Data Engineers and Machine Learning Engineers to guarantee seamless integration, deployment, and production readiness
• Contribute to the ongoing evolution of our data science infrastructure and champion best practices
• Drive Innovation by staying at the forefront of data science and machine learning trends
• Confidently present your solutions and strategic recommendations to diverse audiences, including senior leadership, using compelling narratives, insightful data visualizations, and a deep understanding of business implications to influence critical decision-making
• Other duties as required

About You 

• Ideally 7+ years of industry experience (Data Scientist, ML Engineer, Tech Lead, etc.)
• University degree in Computer Science, Mathematics, Statistics or related field
• Strong track record of designing, prototyping, scaling and deploying data science products to solve complex business challenges (with a focus on recommendation engines)
• Expert coding skills in general purpose languages like Python, and familiarity with robust software engineering principles
• Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains
• Fundamental understanding of the data engineering practices around creation of data pipelines, processing data and storing data using technologies such as Spark  
• Experience collaborating with and understanding the needs of stakeholders from a variety of business domains and ability to incorporate their expertise into the end state solution  
• Demonstrated ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
• Proven ability to communicate complex topics clearly and effectively to audiences of varying technical levels both in written and oral settings
• Experience with automation & orchestration tools such as Airflow, Dagster, DBT or Cron jobs.
• Knowledge of the sports betting industry is preferred, but not mandatory 

#LI-REMOTE

Candidates residing in Ontario requiring special accommodation can email [email protected]

theScore is committed to creating 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.