Senior Data Scientist

Full time

Employment Information

Overview & responsibilities

We are looking for someone who is thrilled to build Data Science and ML products that formulate our business strategy, optimize our content, and guide Marketing investment decisions. To build these products, you will leverage data collected from tens of millions of Paramount+ content users, including video consumption data from Adobe Analytics™ ClickStream, purchase / subscription data, and Ad revenue data from Doubleclick™. Efficiently building Data Science and ML products at Paramount+ requires experience in conceiving and deploying statistical and/or machine learning models, deep Python and SQL experience, perspicacity writing code in a collaborative setting, and excellent communication skills.


  • 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 standard methodologies
  • Deliver clear and actionable insights to collaborators
  • Collaborate with partners across the org to implement data science solutions that inform the business strategy, optimize our content, and guide marketing investment decisions
  • Build models to guide our content strategy such as content affinity and valuation models
  • Build MLOps products used to monitor, persist, and expose ML models
  • Build models to guide our customer lifecycle strategy, such as subscriber churn models
  • Build models to guide our marketing strategy, such as audience segmentation models

Basic qualifications

  • STEM undergraduate degree in Statistics, Engineering, Informatics, Computer Science or similar
  • At least 4 years of post-graduation, commercial experience in Data Science or ML Engineering
  • Broad experience with both supervised and unsupervised machine learning techniques
  • Ability to break complex problems into simple, coherent solutions
  • Deep knowledge of the range and breadth of Data Science tools best suited for a given business problem
  • Deep experience writing robust Python (Pandas, Airflow) and complex SQL code in a collaborative team setting, using Git™ distributed version control system
  • Full stack Data Science experience, ranging from data pipeline to model deployment and maintenance
  • Strong detail orientation with a penchant for data accuracy
  • An ability to communicate concisely and persuasively with engineers, product managers, partners and collaborators

Additional qualifications

  • STEM graduate or post-graduate degree in Statistics, Engineering, Informatics, Computer Science or similar
  • Experience with media or subscription businesses
  • Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
  • Experience using project management tools (JIRA, Confluence)

Additional information

Hiring Salary Range: $124,000.00 - 165,000.00.

The hiring salary range for this position applies to New York City, 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. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.


Join our newsletter to get monthly updates on data science jobs.