Data Science Industrialization Analytics Engineer
Data Science Industrialization Analytics Engineer
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1 Vacancy
Job Description
Role Summary
Do you want to make an impact on patient health around the world Do you thrive in a fastpaced environment that brings together scientific clinical and commercial domains through engineering data science and analytics Then join Pfizer Digitals Artificial Intelligence Data and Analytics organization (AIDA) where you can leverage cuttingedge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering data science and analytics professionals are at the forefront of Pfizers transformation into a digitally driven organization leveraging data science and advanced analytics to change patients lives. The Industrialization team within Enterprise Data Science and Advanced Analytics leads the scaling of data and insights capabilities critical drivers and enablers of Pfizers digital transformation.
As an Analytics Engineer you will be part of the Data Science Industrialization team charged with building and maintaining industrialized analytic data and code assets that power key business applications. You will be a member of a global team developing data pipelines optimizing feature creation and managing and optimizing performance of data and code assets.
Role Responsibilities
- Implement at scale industrialized data science capabilities and analytic products
- Implement parametrized workflows and reusable widgets in the delivery of AI/ML analytic insights products
- Provide analytics engineering support to data science agile teams
- Implement CI/CD orchestration for data science pipelines
- Leverage data wrangling techniques to deliver data pipelines that ingest and integrate data from various information sources and deliver high quality data products that drive analytics and data science applications
- Translate data needs into intro programable queries and convert Python based data wrangling code into PySpark/SQL pipelines for scalable pushdown
- Conduct basic data profiling and quality checks
- Develop automated and selfmonitoring data pipelines including automated QA/QC processes
Qualifications
MustHave
- Bachelors degree in analytics engineering related area (Data Science Computer Engineering Computer Science Information Systems Engineering or a related discipline)
- 2 years of work experience as an analyst/analytics engineer
- Handson skills in analytics engineering and data science (e.g. Python R SQL industrialized ETL software)
- Experience working with various types of data (structured / unstructured)
- Understanding of data ingestion data warehousing and data model concepts
- Knowledge of relational and dimensional data structures theories and practices
- Highly selfmotivated to deliver both independently and with strong team collaboration
- Ability to creatively take on new challenges and work outside comfort zone
- Strong English communication skills (written & verbal)
NicetoHave
- Advanced degree in Data Science Computer Engineering Computer Science Information Systems or related discipline
- Handson skills in Javascript libraries/frameworks for visualization (D3 React Angular)
- Hands on experience working in Agile teams processes and practices
- Experience in CI/CD integration (e.g. Git Hub Git Hub Actions or Jenkins)
- Experience working in a cloud based analytics ecosystem (AWS Snowflake etc)
- Handson experience in containerization (e.g. AWS EKS Kubernetes)
- Handson experience with data pipeline orchestration (e.g. Airflow)
- Understanding of data science development lifecycle (CRISP)
Work Location Assignment:Flexible
Purpose
Breakthroughs that change patients lives... At Pfizer we are apatient 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.Lets 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 iscommitted to celebratingthisin all itsforms 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.
Employment Type
Full-Time
