Data Scientist

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#We Are Paramount  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.

#We Are Paramount  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.

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building 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.

This is an onsite role requiring (5) days in office based out of our Burbank, CA or New York City, NY location.

• A solid foundation in Python and SQL
• Ability to translate business problems into data problems
• Comfort writing production-quality code in a collaborative environment.
• Clear communication with technical and non-technical stakeholders through concise storytelling and visualizations that translate findings into actionable insights.
• Judgment to balance technical rigor with functional usability and business adoption.
• A willingness to continuously learn new tools and techniques.

• 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 product ionize and monitor.
• Contribute to delivering 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.

• 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.
• Build models to predict content viewership and identify content traits that resonate most with each subscriber.
• Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences.
• Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement.

You Have:

• 0-2 years of experience in Data Science and ML Engineering.
• MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience.
• Experience with supervised and unsupervised learning methodologies.
• Experience with data exploration, transformation, and model development, with exposure to product ionizing and monitoring.
• Strong data fluency: selecting the right inputs, engineering business-relevant features, and validating that findings are reliable.
• Familiarity with core statistical/ML methods and model validation fundamentals.
• Concise and influential…