Sr Associate, Data Scientist
Thessaloniki Chortiatis, Greece
πριν από 6 μέρες

Pfizer’sChief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.

The Analytics Experienceteam, which is part of the Analytics & Dataorg within Digital Health, Medicines, and Artificial Intelligence,is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platformacross the enterprise from scientific / clinical to commercial across all Pfizer geographies.

Part of the Analytics Experience team is a User Success team that will be responsible for platform adoption : onboarding, enabling, and supporting self-sufficient analytical users from across the Pfizer business as part of the enterprise analytics platform, Pfizer Insights.

Pfizer Insights will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation.

It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.

This role provides technical enablement and will partner with key groups from Worldwide Research and Development (WRD), Digital Analytics and Data, and external vendors to ensure that participating analysts and data scientists in WRD have everything they need to conduct analytics effectively and efficiently for their user cases.

The candidate will need to have data science experience to work on proof-of-concept use cases in partnership with WRD analytics experts which will include understand data needs and concepts, developing AI and ML models, and creating visualizations.

Fast onboarding, ongoing support, training, and robust change-management is critical to their success. You will have the ability to diagnose issues, solve issues independently where possible, and / or connect analysts with a comprehensive team of experts to provide the most appropriate support to meet their needs and see that they meet their goals.


With supervision, you will :

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

Develop 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

Build WRD 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 and maintain expert’ status in our data science platform


BS in computer science, data science, / or an engineering / quantitative field.

At least 3 years of experience in field of data and analytics

Hands-on skills in data engineering, machine learning and / or data visualization skills

Experience withwriting SQL queries on relational databases

Experience with coding with Python for data analysis, data visualization, and machine learning modeling

Strong communication skills (written & verbal)

Experience with analytical problem solving


Project management experience

A passion for problem-solving, comfort with ambiguity, and creativity

Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organization

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)

Containerization and underlying infrastructure knowledge to support performance and resource optimization is a plus

Pharma & Life Science research and development functional knowledge is a plus

Pharma & Life Science research and development data literacy is a plus




Work Location Assignment : Flexible


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.


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#LI-PFE

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