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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Paramount Pictures - **Location:** New York, NY, United States - **Experience:** Starter - **Salary:** $99,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, BigQuery, Code Review, Data Intelligence, Python (Programming Language), Machine Learning, Standard Sql, Google Cloud, Model Validation, Information Technology, User Administration, Unsupervised Learning - **Published:** September 3, 2026 - **Apply:** https://careers.paramount.com/talentcommunity/apply/1425617500/?locale=en_US ## About the Role * 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., 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 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. You might also have: * Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs). * Experience with integrating AI solutions into existing business processes. ## Description * 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. 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Are Code Reviews Worth It? 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