Who We Are:
On Location is a premium experience provider, offering world class hospitality, ticketing, curated guest experiences, live event production, and travel management across sports, entertainment, and fashion. From unrivaled access for corporate clients to guests looking for fully immersive experiences at marquee events, On Location is the premier and official service provider to over 150 iconic rights holders, such as the IOC (Paris 2024, Milano Cortina 2026, LA 2028), NFL, NCAA, UFC and PGA of America, and numerous musical artists and festivals. The company also owns and operates a number of unique and exclusive experiences, transforming the most dynamic live events into a lifetime of memories. On Location is a subsidiary of Endeavor, a global sports and entertainment company.
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.
The Role and What You’ll Do:
In this role, you'll have the opportunity to work with partners, influence key business decisions, and drive revenue growth in the exciting world of sports and entertainment:
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Lead development and support implementation of advanced statistical models and machine learning algorithms for pricing optimization, sales projections, and event scheduling in high-volume entertainment venues
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Create and maintain event scoring systems to evaluate and optimize performance of daily shows and events using tailored business logic
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Apply clustering and classification techniques to segment inventory and events, enhancing targeting and go-to-market (GTM) strategies
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Collaborate with cross-functional teams to integrate data driven solutions into operational workflows, focusing on maximizing revenue for events throughout the calendar year
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Develop predictive models to forecast demand, optimize inventory, and identify potential revenue opportunities using venue and local market data
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Create and maintain dashboards and reports to communicate complex insights to both technical and non-technical stakeholders
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Work closely with the data engineering team to ensure efficient data pipelines and model deployment
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Continuously monitor and evaluate model performance, providing feedback and adjusting as necessary to improve accuracy and business impact.
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Translate business problems into analytic solutions, balancing technical sophistication with practical implementation, while working closely with our Data Science team
You Have These:
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Bachelor's or Master's or Ph.D. in Data Science, Statistics, Economics, Computer Science, or a related quantitative field
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4+ years of experience applying machine learning and statistical modeling techniques to solve real-world business problems, with a focus on revenue generation and inventory optimization
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Strong proficiency in Python and SQL, with experience working with large datasets in cloud-based environments like Snowflake
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Expertise in developing and deploying machine learning models for pricing optimization, revenue management, demand forecasting, timed entry and event segmentation
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Experience with time series analysis and forecasting techniques
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Strong communication skills with the ability to translate complex technical concepts to non-technical audiences
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Experience working with senior stakeholders and balancing high-priority projects
We’d Love If You Also Have These:
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Experience in the sports, entertainment, hospitality, attraction, casino, or event management industries
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Familiarity with revenue management systems and dynamic pricing models
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Knowledge of advanced optimization techniques and their application in business settings
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Experience with MLOps and deploying models in production environments
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Proficiency in data visualization tools such as Tableau or PowerBI
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Publications or presentations at data science conferences
Don’t meet every single requirement? We are dedicated to building a diverse, inclusive, authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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.
