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Endeavor seeks a Senior Data Scientist to join their On Location team, focusing on leveraging data to enhance decision-making and business operations.  Responsibilities include advanced analytics and reporting, data exploration and preprocessing, machine learning model development (classification, regression, segmentation for customer behavior, pricing, etc.), and communicating insights to both technical and non-technical stakeholders.  The role demands experience in the full data science lifecycle, collaboration with cross-functional teams, and proficiency in SQL, Python, and various data science packages. The ideal candidate will possess strong problem-solving and communication skills and experience working with big data technologies.

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<div class="css-ey7qxc"><div data-automation-id="jobPostingDescription" class="css-zokh5w">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.<div><div><h1>Position Overview&nbsp;</h1></div><div><h1>&nbsp;</h1></div><div>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.&nbsp;</div><div>&nbsp;</div><div><h1>Key Responsibilities&nbsp;</h1></div><div><h1>&nbsp;</h1></div><div>Advanced Analytics and Reporting&nbsp;</div><div><ul><li>Lead the design, development, and implementation of data analytics projects to solve complex business problems&nbsp;</li></ul></div><div><ul><li>Utilize statistical and machine learning techniques to analyze large datasets and extract actionable insights&nbsp;</li></ul></div><div><ul><li>Guide and build reports in service for business functions&nbsp;</li></ul></div><div>&nbsp;</div><div>Data Exploration and Preprocessing&nbsp;</div><div><ul><li>Conduct exploratory data analysis to understand the characteristics of datasets&nbsp;</li></ul></div><div><ul><li>Develop and implement data preprocessing pipelines to ensure the quality and reliability of data for analysis&nbsp;</li></ul></div></div><div><div><ul><li>Build dimensional and fact tables for use in analytics, reporting, and predictive ML solutions&nbsp;</li></ul></div><div>&nbsp;</div><div>Machine Learning&nbsp;</div><div><ul><li>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&nbsp;</li></ul></div><div><ul><li>Monitor model performance and refine models post deployment&nbsp;</li></ul></div><div>&nbsp;</div><div>Thought Leadership and Communication&nbsp;</div><div><ul><li>Solution and scope the efforts and resources needed to execute data science solutions&nbsp;</li></ul></div><div><ul><li>Identify opportunities to create business value through data science projects&nbsp;</li></ul></div><div><ul><li>Communicate findings and insights to both technical and non-technical audiences&nbsp;</li></ul></div><div>&nbsp;</div><div>Teamwork and Cross-Functional Partnership&nbsp;</div><div><ul><li>Collaborate with cross-functional team members, including data engineers, product managers, and business stakeholders, to successfully implement data solutions&nbsp;</li></ul></div><div><ul><li>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&nbsp;</li></ul></div><div>&nbsp;</div><div><h1>Qualifications&nbsp;</h1></div><div><ul><li>Master's or Ph.D. degree in a quantitative field, such as Statistics, Mathematics, Economics, Data Science, Engineering, etc.</li><li>5+ years of experience in a data science role (3+ years with a Ph.D.)&nbsp;</li><li>2+ years of experience where you served as the data science or analytics lead on cross-functional projects&nbsp;</li><li>Strong proficiency in SQL, Python, and relevant data science packages (e.g., Pandas, Scikit-learn)&nbsp;</li><li>In-depth knowledge of machine learning algorithms, statistical modeling, and data visualization techniques&nbsp;</li><li>Experience with big data technologies and tools (e.g., AWS, Snowflake, DBT, GCP, Spark, Hadoop)&nbsp;</li><li>Experience communicating and presenting technical insights to leadership and non-technical audiences&nbsp;</li><li>Excellent problem-solving skills, critical thinking, and attention to detail&nbsp;</li></ul></div></div>Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture, we strive to reflect the world’s diverse voices.  Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.Per local requirements and in the interest of transparency, the range 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.&nbsp; Endeavor 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 Range Minimum:$142,526 annuallyHiring Range Maximum: $190,035 annually</div></div>