Data Scientist

Paramount Pictures is an entertainment company focused on delivering content and streaming experiences. They are seeking an entry-level Data Scientist to build machine-learning analyses, predictive models, and analytics products that inform business strategy, optimize content and marketing investment, and improve user experiences. The role also involves developing productionized ML pipelines, communicating insights to stakeholders, and collaborating across the Product organization.

What you'll do:

• 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
• 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

What they're looking for:

• • 0-2 years of experience in Data Science and ML Engineering
• • Experience with supervised and unsupervised learning methodologies
• • Experience with data exploration, transformation, and model development, with exposure to productionizing 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 communication skills for a wide variety of stakeholders
• • Ability to produce clear technical documentation and stakeholder presentations
• • Strong attention to detail with a penchant for data accuracy
• • Must successfully pass a background check
• • A solid foundation in Python and SQL
• • Ability to translate business problems into data problems
• • Comfort writing production-quality code in a collaborative environment

Benefits:

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Life insurance coverage
• Disability benefits
• Tuition assistance program
• PTO
• Bonus eligible
• Generous paid time off