Pfizer's Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes. 

The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise - from scientific/clinical to commercial across all Pfizer geographies.  

Part of the Analytics Experience team are a group of Software Engineers who are responsible for managing components that form the enterprise analytics platform.  This platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation.  It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture. 

In this role, you will act as an engineer expert for the Data Science platform that serves a diverse group of colleagues - ranging from novice business analysts to expert data scientists - across the enterprise. The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.

You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.

ROLE RESPONSIBILITIES

• Responsible for development of highly responsive, web-based user interface and Django REST APIs.

• Provide expertise on reliability, performance, and scalability challenges.

• Develop a flexible and well-structured front-end architecture, along with the APIs to support it.

• Building reusable components and libraries for future use.

• Support and maintain developed code.

• Translating designs and wire frames into high quality code.

• Construct visualizations that can depict vast amounts of data.

• Communicate and collaborate with cross functional teams in an agile environment.