Data Science Intern at PG&E, assisting in developing reliability analytics and predictive models for the electric grid. Involves data management, analysis, and model development for enhancing grid reliability.
About the role
- Senior Manager for Data Science and AI at Pfizer leading product development and team collaboration. Driving impact through analytics and AI solutions in a rapidly evolving environment.
Responsibilities
- Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
- Communicate value delivered through industrialized AI/ML assets to end user functions
- Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
- Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
- Provide the voice of the user as the product owner on agile product development teams
- Drive adoption of products through user community engagement
Requirements
- Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
- 7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
- 2-3 years of hands-on product management experience
- 2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
- Strong business analysis, product design, and product management skills
- Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, Azure AI Foundry or other data science and AI platforms
- Strong hands-on skills in analytics engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
Benefits
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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