At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitise and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience


As an employee, you will work with the business partner to establish relationships with customers and understands data science needs You will develop documentation including initial requirements and design for data and AI/ML use cases. You will create data pipelines for efficient and repeatable data wrangling, preprocessing, and feature engineering You will apply statistical analysis and visualization techniques to various data (E.g., principal components analysis) You will apply various ML and advanced analytics techniques to perform classification or prediction tasks You will be testing of ML models, such as cross-validation, A/B testing, bias, and drifts You will collaborate with machine learning engineers and data engineers, and IT to evaluate model deployment, serving and operation capabilities You will build medical and commercial domain knowledge over time

You will actively support the enablement of users via:

You will be contributing and managing our knowledge base and community forums You will be partnering to offer short term project/solutions support and guidance You will coordinate and promote training offerings You will be technical Support Liaison Up-skill to maintain ‘expert’ status in our data science platform


BS in computer science, data science, /or an engineering/quantitative field 0-2+ years of work experience Strong hands-on skills in data engineering, machine learning and data visualization skills Strong hands-on skills in software engineering (e.g., Python) Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 9 or 10), or similar, platform Strong hands-on skills in Data Visualization platforms (e.g. Tableau, Spotfire) Strong database querying skills (SQL) across many different technologies Strong communication skills (written & verbal) Containerization and underlying infrastructure knowledge to support performance and resource optimization is a plus Experience with analytical problem solving