Senior Data Scientist at Paramount optimizing content and user experience through ML products. Collaborating with stakeholders and leveraging data to inform business strategy.
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.
Requirements
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.
Must successfully pass a background check.
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)
Internship for AI in document processing at ArianeGroup, focusing on natural language processing and data analysis tasks in a collaborative environment.
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.