IEOR - Designing a More Efficient World

Data Science / Data Engineering Internship at Pfizer, Inc.

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Employer: Pfizer, Inc.

Expires: 04/13/2020

Pfizer Inc. – New York, NY & La Jolla, CAPfizer Digital – Intelligent Assistant Solutions TeamPosition Summary All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.At Pfizer, you will have the opportunity to work for and with some of the most talented professionals in any field and in any industry. We have the facilities, resources, technology and spirit of discovery to carry out and conduct the world’s most advanced science and medicine and solve some of the world’s most complex health challenges.You will work for an organization that earns respect from society by acting with integrity and driving efforts all over the world to help patients, protect the environment, and foster economic growth.You will work in a culture that encourages innovation and thoughtful risk-taking, emphasizes trustworthy, collaborative work relationships and strives to give each colleague the support and resources necessary to build a successful, meaningful career.As a member of the Intelligent Assistant Solutions team, a component of Pfizer’s Digital organization, the Data Science/Engineering Intern participant will join a group focused on leveraging machine learning to build products and services to empower colleagues and to create a healthier world.Day-to-day, the Data Science/Engineering Intern will be a key contributor to the team’s on-going product development activities; an essential component to creating a scalable analytics capability for Pfizer. Further, the participant will actively support ad-hoc analysis efforts utilizing patient, text or image data to identify and develop life-changing therapies to patients around the world.In addition, as technologists within Pfizer’s analytic eco-system; this role will also participate in the assessment of new technologies as well as identifying next-generation solution architectures.Skills, Knowledge, and AbilitiesAbility to create technical prototypes and demonstrations based on rapidly changing data setsAbility to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audienceExperience with general supervised and unsupervised Machine Learning techniques, as well as text analysis, Natural Language Processing or Neural NetworksStrong foundational understanding of software engineering principles with hands-on experience with SQL, Python, Scala, R and/or JavaAbility to create effective visualizations and experience with current toolsets (e.g. Tableau, Shiny, D3.js)Exposure to cloud technologies for distributed processing of large datasets (eg. AWS, Azure, GCP)Background in Software Engineering, Statistics, Data Science or similar disciplines