Who We Are:

TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.

Company Overview

TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.

Position Overview

We are looking for a highly skilled Senior Data Scientist to join our Data & AI Product and Services team and drive measurable business impact through advanced analytics and production-grade machine learning solutions. The team partners with business functions across On Location to deliver analytics, experimentation, and AI capabilities supporting 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

• Define analytical frameworks and partner with BI teams to deliver scalable reporting and insight products

• 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

• Design and build dimensional models 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 other data scientists to align methodologies, review code, share best practices, and promote a cohesive approach to data science within the organization

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  Qualifications

  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.). Experience operating in fast-paced, cross-functional commercial environments preferred2+ 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 working with modern cloud data platforms (e.g., AWS, Snowflake, GCP) and production data flows (e.g. dbt, Airflow, CI/CD)

  Experience communicating and presenting technical insights to leadership and non-technical audiences

  Excellent problem-solving skills, critical thinking, and attention to detail

  Experience deploying ML models to production environments (MLOps, model versioning, monitoring)

  Experience with experimentation frameworks (A/B testing, uplift modeling, or causal inference)

  Demonstrated ability to translate ambiguous business problems into analytical solutions with measurable impact

Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.

Hiring Rate Minimum:

$82,500 annually(minimum will not fall below the applicable State/local minimum salary thresholds)

Hiring Rate Maximum:

$110,000 annually

TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.