Data Scientist
Company: Paramount
Location: New York, NY (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-07
About this role
#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.
Overview:
We are seeking a Data Scientist who is excited to build ML-powered analyses and products that shape business strategy, optimize content, inform marketing investment, and enhance the user experience. You will leverage rich datasets such as video and ad consumption, clickstream activity, subscription history, and 2nd/3rd-party data to build user- and session-level causal and predictive models.
Responsibilities:
- Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions.
- Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact.
- Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor.
- Deliver clear, impactful insights to stakeholders.
- Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience.
- Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing.
- 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.
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