Data Scientist

TKO Group Holdings, Inc

About The Position

We are looking for a highly skilled Senior 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.

Requirements

Master's or Ph.D. degree in a quantitative field, such as Statistics, Mathematics, Economics, Data Science, Engineering, etc.
5+ years of experience in a data science role (3+ years with a Ph.D.).
2+ years of experience where you served as the data science or analytics lead on cross-functional projects
Strong proficiency in SQL, Python, and relevant data science packages (e.g., Pandas, Scikit-learn)
In-depth knowledge of machine learning algorithms, statistical modeling, and data visualization techniques
Experience with big data technologies and tools (e.g., AWS, Snowflake, DBT, GCP, Spark, Hadoop)
Experience communicating and presenting technical insights to leadership and non-technical audiences
Excellent problem-solving skills, critical thinking, and attention to detail

Nice To Haves

Experience in consulting a plus.

Responsibilities

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
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
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
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
Collaborate with cross-functional team members, including data engineers, product managers, and business stakeholders, to successfully implement data solutions
Work closely with other data scientists to align methodologies, review code, share best practices, and promote a cohesive approach to data science within the organization