Senior 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.

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.
• 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.

Basic Qualifications
• 2 years experience in Data Science and ML Engineering.
• 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.
• Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
• Familiarity with well-known statistical and ML models and methods.
• Ability to innovate without over-engineering.
• Communicate concisely and persuasively with a wide variety of stakeholders.
• Strong detail orientation with a penchant for data accuracy.
• Must successfully pass a background check.

Additional Qualifications
• Experience using Google Cloud Platform (BigQuery, ML Engine, 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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