The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial
Job Summary
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial.
As a Manager, AI and Data Science Full Stack Engineer, your responsibilities will include architecting and implementing AI solutions at scale for Pfizer.
Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions.
Matching Summary
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial.
Skills & Requirements
Must-have
Python
SQL
HTML, CSS, Bootstrap
JavaScript frameworks (React, Vue, or AngularJS)
BI backend concept like Star Schema and Snowflake
low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit
CI/CD pipeline implementation
logging and monitoring tools
Nice-to-have
proactive approach to identifying and resolving issues
contribute to best practices
help colleagues grow
creatively tackle new challenges
step outside your comfort zone
Key Requirements
Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience)
5+ years of experience in software engineering, data science, or related technical fields
Proven experience as a Full Stack Engineer or similar role
Strong portfolio of successful projects
Solid experience in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs
Strong English communication skills (written and verbal)