PENN Entertainment, Inc. is looking to improve profitability, growth, and user experience for ESPN Bet through data-driven solutions, specifically by designing and implementing innovative personalization strategies.
Requirements
- 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 with automation & orchestration tools such as Airflow, Dagster, DBT or Cron jobs.
- Knowledge of the sports betting industry is preferred, but not mandatory
Responsibilities
- 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
- Serve as a technical leader within the team, fostering a collaborative and innovative environment
Other
- Ideally 4+ years of industry experience (Data Scientist, ML Engineer, etc.)
- University degree in Computer Science, Mathematics, Statistics or related field
- 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
