Role Summary

The Pfizer Machine Learning and Intelligent Assistance Team deliver and maintain the platforms and capabilities that enable Pfizer Business Units to connect digitally with our external customers, provide intelligent automation solutions and effectively engage/collaborate across teams internally. We build advanced cloud-based technology solutions at a global scale that positively impact Pfizer business performance. Pfizer is accelerating the use of digital technology across our entire enterprise.

The Machine Learning Engineer will partner with key business stakeholders to scope and lead Digital project/product initiatives that support key business initiatives across Pfizer. This role will be involved in understanding business processes and executing proof-of-concept initiatives as well as full production builds.

Role Responsibilities

• Work closely with teams across Pfizer to prototype and build systems that make the lives and work of colleagues and patients easier and enhance decision-making
• Partner with other Digital teams to define and execute technology POCs using innovative technologies to advance Pfizer's analytic capabilities
• Directly engage with key business stake-holders (Sr. Manager level)
• Technical leadership of Proof-of-Concept initiatives
• Develop re-usable microservices and products that will serve as a foundation for scale and AI/ML maturation

Qualifications

Basic Qualifications:

• Degree in Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or related field
• 1 year as a data scientist/machine learning engineer
• Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data sets
• Experience with supervised and unsupervised Machine Learning techniques, with emphasis on Natural Language Processing
• Proficiency with Python, R, and SQL
• Good written and verbal communication skills
• Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience

Preferred Qualifications:

• Experience with implementation of solutions with DevOps tools within the CI/CD pipeline a plus
• Experience with Agile a plus