Senior Data Scientist

Storytelling is, and will always be, the heart of what we do at Skydance.

Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!

We are seeking a Senior Data Scientist who is excited to build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will leverage rich datasets such as video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user- and session-level causal and predictive models. Key applications include identifying the drivers of retention, quantifying the impact of high-value user actions, forecasting content viewership, developing user segmentations for cohort-based targeting, and surfacing opportunities to enhance the user experience. Success in this role requires a solid foundation in Python and SQL, comfort writing production-quality code in a collaborative environment, effective communication skills, and a willingness to continuously learn new tools and techniques.

Your Day-to-Day:

• Translate complex business problems into coherent, actionable quantitative solutions.

• Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.

• Deliver clear, impactful insights to stakeholders through effective communication.

• Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.

• Promote best practices across the data science and product analytics team.

• Key Projects:

• Leverage 1st / 2nd / 3rd party data to build global models that predict user behavior throughout their subscription journey (e.g., sign-up, churn)

• Build models to identify and measure high-value user actions and drivers of habit formation.

• Develop session-level predictions to uncover user intent at the start of a session.