Description:

theScore is a subsidiary of PENN Entertainment that provides digital media and sports betting products to millions of sports fans.
The Staff Data Scientist will be part of the Analytics & Data Science team, focusing on developing data-driven solutions to enhance profitability, growth, and user experience for ESPN Bet.
This role involves designing and implementing personalization strategies to improve user engagement and satisfaction.
The candidate will utilize their expertise in data science and personalization engines to create sophisticated models that deliver tailored content to users.
Responsibilities include serving as a technical leader, collaborating with stakeholders to identify business problems, and utilizing advanced personalization techniques.
The role requires taking ownership of data science projects, collaborating with Data Engineers and Machine Learning Engineers, and contributing to the evolution of data science infrastructure.
The candidate will also drive innovation by staying updated on data science trends and presenting solutions to diverse audiences.

Requirements:

A minimum of 7 years of industry experience in roles such as Data Scientist, ML Engineer, or Tech Lead is required.
A university degree in Computer Science, Mathematics, Statistics, or a related field is necessary.
The candidate must have a strong track record of designing, prototyping, scaling, and deploying data science products, particularly recommendation engines.
Expert coding skills in Python and familiarity with software engineering principles are essential.
A deep understanding of the Machine Learning lifecycle, best practices, and algorithms is required.
Fundamental knowledge of data engineering practices, including data pipelines and processing technologies like Spark, is necessary.
Experience in collaborating with stakeholders from various business domains is important.
The candidate should demonstrate a product-oriented mindset and innovative thinking in developing user-centric solutions.
Proven ability to communicate complex topics clearly to audiences of varying technical levels is required.
Experience with automation and orchestration tools such as Airflow, Dagster, DBT, or Cron jobs is preferred.
Knowledge of the sports betting industry is a plus but not mandatory.

theScore is committed to creating a diverse environment and is 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.
Candidates residing in Ontario requiring special accommodation can request assistance through the provided email.