Data Science Industrialization, Analytics Engineering Manager
Pfizer Inc.
Thessaloniki Chortiatis, Greece
Job posting number: #7113814 (Ref:pf-4863886)
Posted: October 13, 2022
Application Deadline: Open Until Filled
Job Description
Role Summary
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge 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 Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patient’s lives. The Industrialization team within Enterprise Data Science and Advanced Analytics leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer’s digital transformation.
As an Analytics Engineering Manager, 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
- Develop, maintain, and advance at scale “industrialized” data science capabilities and analytic products
- Develop and maintain parametrized workflows and reusable widgets in the delivery of AI/ML analytic insights products
- Provide analytics engineering expertise 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 execution
- Conduct basic data profiling and quality checks
- Fine tune performance on datasets for visualization and other applications
- Develop automated and self-monitoring data pipelines including automated QA/QC processes
- Work with stakeholders to assist with data-related technical issues and support data infrastructure needs
Qualifications
Must-Have
- Bachelor’s degree in analytics engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
- 5+ years of work experience as an analyst/analytics engineer
- Strong hands-on skills in analytics engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
- Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
- 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 self-motivated 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)
Nice-to-Have
- Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
- Experience with AI/machine learning enabling technology, such as: Data Science Studio or equivalent data science platforms, Python, R, and visualization techniques
- 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 in software/product engineering
- Hands-on experience in containerization (e.g. AWS EKS, Kubernetes)
- Hands-on experience with data pipeline orchestration (e.g. Airflow)
- Understanding of data science development lifecycle (CRISP)
- Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable
- Experience developing and deploying data and analytic products for use by technical and non-technical audiences
- Pharma & Life Science commercial functional knowledge
- Pharma & Life Science commercial data literacy
- Experience with Dataiku Science Studio
Work Location Assignment: Flexible
LI#PFE
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.
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.
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