Manager - Data Science and AI Full Stack Engineer

Manager, DS & AI Full Stack Engineer

ROLE 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. AIA works in tight collaboration with various Pfizer functions  to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.

As a Manager, AI and Data Science Full Stack Engineer, your responsibilities will include architecting and implementing AI solutions at scale for Pfizer. You will iteratively develop and continuously improve data science workflows, AI based software solutions, and AI components.

ROLE RESPONSIBILITIES

• Develop end-to-end data engineering, data science and analytics products and AI modules.
• Develop server-side logic using back-end technologies such as Python.
• Develop data ETL pipelines using python and SQL.
• Create responsive and visually appealing web interfaces using HTML, CSS, and Bootstrap.
• Build dynamic and interactive web applications with JavaScript frameworks (React, Vue, or AngularJS)
• Build data visualizations and data applications to enable data exploration and insights generation.
• Implement and maintain infrastructure and tools for software development and deployment
• Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
• Implement logging and monitoring tools to gain insights into system behavior.
• Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
• Demonstrate a proactive approach to identifying and resolving potential system issues.
• Contribute to the best practices of the team and help colleagues grow.
• Communicate complex technical concepts and insights to both technical and non-technical stakeholders.
• Stay up-to-date with emerging technologies and trends in your field.

Basic qualification

• 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, with a 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.
• Knowledge of BI backend concept like Star Schema and Snowflake
• Experience in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit
• Highly self-motivated, capable of delivering both independently and through strong team collaboration.
• Ability to creatively tackle new challenges and step outside your comfort zone.
• Strong English communication skills (written and verbal).

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech

Experience Level

Mid Level