Principal Data Engineer designing and implementing data solutions that ensure trust and transparency in supply chains. Collaborating with global teams and mentoring fellow engineers in data practices.
About the role
- AI and Analytics Data Engineer building high quality data science pipelines for Pfizer's Digital Commercial Creation Center. Collaborating with global teams and defining ML Ops best practices for production analytics workflows.
Responsibilities
- Building and automating high quality data science pipelines that power key business applications with advanced analytics/AI/ML
- Defining and maintaining ML Ops best practices and deploying and maintaining production analytics and data science modeling workflows
- Converting data/ML pipelines into scalable pipelines based on the infrastructure available
- Enabling production models across the ML lifecycle
- Determining model performance metrics and implementing monitoring dashboards
- Designing champion/challenger model and A/B testing automation
- Implementing CI/CD orchestration for data science pipelines
- Managing the production deployments and post-deployment model lifecycle management activities
- Working with stakeholders to assist with ML pipeline-related technical issues
- Partnering with teams to integrate developed ML pipelines into enterprise-level analytics data products where appropriate
Requirements
- Bachelor’s degree in ML engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
- 5-10 years of work experience in Data science, Analytics, or Engineering for a diverse range of projects
- Understanding of data science development lifecycle (CRISP)
- Strong hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
- Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
- Highly self-motivated to deliver both independently and with strong team collaboration
- Ability to creatively take on new challenges and work outside comfort zone
- Strong English communication skills (written & verbal)
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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