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.
About the role
- 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)
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
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