ROLE RESPONSIBILITIES

Work with the business partner to establish relationships with customers and understands data science needs

Develops documentation including initial requirements and design for data and AI / ML use cases.

Create data pipelines for efficient and repeatable data wrangling, preprocessing, and feature engineering

Apply statistical analysis and visualization techniques to various data (E.g., principal components analysis)

Apply various ML and advanced analytics techniques to perform classification or prediction tasks

Testing of ML models, such as cross-validation, A / B testing, bias, and drifts

Collaborate with machine learning engineers and data engineers, and IT to evaluate model deployment, serving and operation capabilities

Build medical and commercial domain knowledge over time

Actively support the enablement of users via :

Contributing and managing our knowledge base and community forums

Partnering to offer short term project / solutions support and guidance

Coordinate and promote training offerings

Technical Support Liaison

Up-skill to maintain expert’ status in our data science platform

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

At least 1 year of experience in the field of data and analytics

LI#PFE

PHYSICAL / MENTAL REQUIREMENTS

None

Work Location Assignment : Flexible

Purpose

Breakthroughs that change patients' lives ... 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.

Digital Transformation Strategy

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 digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.

Let’s start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve.

Together, we continue to build a culture that encourages, supports and empowers our employees.

Information & Business Tech