Data Scientist

#hiring Data Scientist - Entertainment Apply here: [Upgrade to PRO to see link] Marketing Analytics - CAC, LTV, SubscriptionsThis Jobot Job is hosted by: Dylan CurrierAre you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.Salary: $100,000 - $130,000 per yearA bit about us:We are a household name in the entertainment industry, known for delivering unforgettable experiences that bring people together. From live events and ticketing to digital and subscription-based offerings, we connect millions of fans with the content and moments they care about most.Behind the scenes, we operate with the mindset of a startup-fast-moving, collaborative, and deeply focused on innovation. Were constantly exploring new ways to better understand our customers, optimize their journey, and create more meaningful engagement through data.Our teams leverage modern technologies and advanced analytics to power smarter decisions across the business. By combining creativity with data science, were able to enhance everything from ticket sales strategies to personalized subscription experiences.We believe in empowering our people to take ownership, experiment, and make an impact. Whether its launching new products, refining customer insights, or building scalable data solutions, every team member plays a key role in shaping the future of entertainment.Join us and help redefine how audiences discover, engage with, and experience live and digital entertainment.Why join us?Opportunity to work with a leading brand in the entertainment spaceA dynamic, startup-oriented culture with room to make a direct impactFully remote work environment with flexibilityCompetitive compensation and benefitsJob DetailsWe are looking for a Data Scientist to join a well-known, household-name company in the entertainment industry. This role sits at the intersection of data, product, and business strategy, with a strong focus on consumer analytics across ticketing and subscription-based offerings.You will build and deploy models that drive key business metrics such as churn, lifetime value