Data Scientist

Who We Are:

Endeavor is a global sports and entertainment company, home to many of the world’s most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through IMG ARENA and OpenBet. Endeavor is also the majority owner of TKO Group Holdings (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE.

Position Overview  

We are looking for a highly skilled Data Scientist to join our Data team and help us leverage data to improve our decision-making and business operations. The Data team supports all business functions across On Location, which specializes in creating premium experiential offerings to major events such as the Olympics, FIFA World Cup, Super Bowl, NCAA Final Four, among others. This role will involve the full data science lifecycle, including data cleaning, analysis, reporting, and machine learning model development. You’ll work cross-functionally with teams across the company to understand business challenges, design data-driven solutions, and deliver actionable insights that drive growth and efficiency. 

 

Key Responsibilities  

Advanced Analytics and Reporting 

• Lead the design, development, and implementation of data analytics projects to solve complex business problems 

• Utilize statistical and machine learning techniques to analyze large datasets and extract actionable insights 

• Guide and build reports in service for business functions 

 

Data Exploration and Preprocessing 

• Conduct exploratory data analysis to understand the characteristics of datasets 

• Develop and implement data preprocessing pipelines to ensure the quality and reliability of data for analysis 

• Build dimensional and fact tables for use in analytics, reporting, and predictive ML solutions 

 

Machine Learning 

• Lead the end-to-end process of developing, training, and deploying machine learning models (classification, regression, segmentation) for use cases such as customer segmentation, conversion propensity, churn, recommendations, and dynamic pricing 

• Monitor model performance and refine models post deployment 

 

Thought Leadership and Communication 

• Solution and scope the efforts and resources needed to execute data science solutions 

• Identify opportunities to create business value through data science projects 

• Communicate findings and insights to both technical and non-technical audiences 

 

Teamwork and Cross-Functional Partnership 

• Collaborate with cross-functional team members, including data engineers, product managers, and business stakeholders, to successfully implement data solutions 

• Work closely with …