• 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

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