Content Data Scientist

This is a Full Time Job

#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.

We are looking for a Data Scientist to join our Content Data Science team within the Data & Insight Group. Our team sits at the intersection of data, technology, and entertainment, focused on understanding content performance, audience behavior, and the signals that drive viewership and subscriber growth across Paramount and Pluto TV.

In this role, you will work with some of the richest streaming datasets in the industry, spanning billions of content interactions, subscriber journeys, and ad events, to build models that directly inform how we invest in, market, and optimize content for millions of viewers worldwide. You will draw on data sources including video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user-level causal and predictive models. Key applications include forecasting content viewership, identifying content traits that resonate with our audiences, quantifying the impact of high-value user actions, developing user segmentations for cohort-based targeting, and finding opportunities to improve the user experience.

This is a great opportunity for someone who wants to build ML products that have a real impact on business strategy, content decisions, and the viewer experience at scale. Strong Python and SQL skills, clear communication, and a curiosity to keep learning are what will set you up for success here.

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 other data scientists / BI analysts on the team to operationalize quantitative solutions that inform strategy and optimize the user experience.
• Promote best practices across the data science and product analytics team.

Key Projects:

• Build and maintain forecasting models that predict content performance ahead of release, helping guide content acquisition and programming decisions across Paramount and Pluto TV.
• Build models to identify content traits and audience signals that predict what resonates most with each subscriber segment.
• Build attribution models that quantify how specific titles drive P sign-ups and revenue to enable smarter content investment decisions.
• Build 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.
• Create user segmentations that enable meaningful cohort-based targeting and support near-personalized experiences.

Basic Qualifications
• MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.
• Experience with both supervised and unsupervised learning methodologies.
• Experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science models.
• Familiarity with well-known statistical and ML models and methods.
• Ability to innovate without over-engineering.
• Communicate concisely and persuasively with a variety of audiences.
• Strong detail orientation with a penchant for data accuracy.

Additional Qualifications
• Experience with causal inference methodologies.
• Experience applying forecasting models to media, content, or consumer behavior datasets.
• Familiarity with holdout testing, uplift modeling, or other causal experimentation techniques.
• Experience using Google Cloud Platform (BigQuery, VertexAI, and APIs).
• Experience with integrating AI solutions into existing business processes.
• Experience using project management tools like those from Atlassian (JIRA, Confluence)

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