Associate Data Scientist

Role Details We are seeking an Associate 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 five days in office, based out of our Burbank, CA or New York City, NY location. What You’ll Need to Succeed 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 Your Day-to-Day 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 productionise and monitor Contribute to delivering clear, impactful insights to stakeholders Collaborate across the Product organization to operationalise data science solutions that inform strategy and optimise 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 behaviour 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‑personalised experiences Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement Qualifications 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 productionising 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 Hiring Salary Range $99,000 – $123,000 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education. Benefits Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams Opportunities for both on‑site and virtual engagement events Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace Explore life at Paramount: Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on‑screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. 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