Overview:We are seeking a Senior Data Scientist who is excited to build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will leverage rich datasets such as video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user- and session-level causal and predictive models. Key applications include identifying the drivers of retention, quantifying the impact of high-value user actions, forecasting content viewership, developing user segmentations for cohort-based targeting, and surfacing opportunities to enhance the user experience. Success in this role requires a strong foundation in Python and SQL, comfort writing production-quality code in a collaborative environment, effective communication skills, and a willingness to continuously learn new tools and techniques.
Responsibilities:- 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.
- 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.
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).
ADDITIONAL INFORMATION
Hiring Salary Range: $124,000.00 - 186,000.00.
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.
What We Offer:- Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
- 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: https://www.paramount.com/careers/life-at-paramount
