We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts!
Our client is a leading research-based biopharmaceutical company. They apply science and their global resources to deliver innovative therapies that extend and significantly improve lives. Every day, colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time.
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and advanced analytics to change patients’ lives. The Data Science Industrialization team within Data Science Solutions and Initiatives leads the scaling of data and insights capabilities – critical drivers and enablers of Pfizer’s digital transformation.
As the Data Science Software and Solutions Development Lead, you will be a leader within the Data Science Industrialization team charged with building key business applications powered by data science workflows with embedded advanced analytics/AI/ML. As the champion driving productized data science software thinking to enable industrialized data science, you will lead a global team and partner with cross-functional business stakeholders and platform & data leaders to catalyze identification, design, iterative development, and continuous improvements of data science code accelerators, reusable data science components, software, and solutions. Your team will develop best practices and maintain standards for software engineering including design and maintenance of code repositories and plugin libraries to standardize deployments, enable self-service and re-use, and accelerate data science and analytics. In addition, you will be responsible for providing critical input into the analytics ecosystem & platform strategy to promote self-service, drive productization & collaboration, and foster innovation. Your team will be accountable to key Pfizer business functions (including Pfizer Biopharma, R&D, PGS, and Finance) for building AI/ML powered data science software and solutions that support major business objectives across all of Pfizer’s core business units.