Data Scientist - Entertainment (Rochester)
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Salary: $100,000 - $130,000 per year A 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. We’re 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, we’re 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 it’s 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 space
A dynamic, startup-oriented culture with room to make a direct impact
Fully remote work environment with flexibility
Competitive compensation and benefits Job Details We 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 (LTV), and customer acquisition cost (CAC), while uncovering actionable insights to optimize ticket sales and customer engagement. This is an opportunity to work within a fast-moving, startup-like environment backed by the scale and brand recognition of a major entertainment company. Key Responsibilities Develop and maintain predictive models for churn, LTV, and CAC to inform growth and retention strategies
Analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotions
Generate insights on customer behavior across subscription and transactional products
Partner with product, marketing, and analytics teams to translate business needs into data-driven solutions
Design and analyze A/B tests to evaluate product features, campaigns, and pricing strategies
Build scalable data pipelines and workflows in collaboration with data engineering teams
Communicate findings clearly to both technical and non-technical stakeholders Required Qualifications 3–5 years of experience in data science, analytics, or a related field
Proven experience building models related to churn prediction, LTV, CAC, or similar consumer metrics
Strong proficiency in Python and SQL
Experience working with modern data platforms such as Snowflake and cloud environments like AWS
Solid understanding of statistical methods, machine learning techniques, and experimental design
Experience working with large, complex datasets and deriving actionable insights
Ability to thrive in a fast-paced, startup-like environment Preferred Qualifications Experience in entertainment, media, ticketing, or subscription-based businesses
Familiarity with forecasting models and time-series analysis
Experience with data visualization tools (e.g., Tableau, Looker)
Exposure to big data tools (e.g., Spark) Interested in hearing more? Easy Apply now by clicking the Apply button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
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