PFIZER IS HIRING ASSOCIATE

ABOUT THE COMPANY

At Pfizer we’re a patient centric company, guided by our four values courage, joy, equity and excellence. Our advance culture lends itself to our fidelity to transubstantiating millions of lives. One bold way we’re achieving our purpose is through our company wide digital metamorphosis strategy. We’re leading the way in espousing new data, modelling and automated results to further digitise and accelerate medicine discovery and development with the end of enhancing health issues and the patient experience

Part & liabilities

As an hand, you’ll work with the business mate to establish connections with guests and understands data wisdom needs You’ll develop attestation including original conditions and design for data and AI/ ML use cases. You’ll produce data channels for effective and unremarkable data fighting, preprocessing, and point engineering You’ll apply statistical analysis and visualization ways to colorful data(E.g., top factors analysis) You’ll apply colorful ML and advanced analytics ways to perform bracket or vaticination tasks You’ll be testing of ML models, similar ascross-validation, A/ B testing, bias, and drifts You’ll unite with machine literacy masterminds and data masterminds, and IT to estimate model deployment, serving and operation capabilities You’ll make medical and marketable sphere knowledge over time
You’ll laboriously support the enablement of druggies via

You’ll be contributing and managing our knowledge base and community forums You’ll be partnering to offer short term design/ results support and guidance You’ll coordinate and promote training immolations You’ll be specialized Support Liaison Up- skill to maintain ‘ expert ’ status in our data wisdom platform

ELIGIBILITY CRITERIA

BS in computer wisdom, data wisdom,/ or an engineering/ quantitative field 0- 2 times of work experience Strong hands- on chops in data engineering, machine literacy and data visualization chops Strong hands- on chops in software engineering(e.g., Python) Strong hands- on chops for data and machine literacy channel unity via Dataiku( DSS 9 or 10), or analogous, platform Strong hands- on chops in Data Visualization platforms(e.g. Tableau, Spotfire) Strong database querying chops( SQL) across numerous different technologies Strong communication chops( written & verbal) Containerization and underpinning structure knowledge to support performance and resource optimization is a else Experience with logical problem working