Manager, SAP Data Scientist

Pfizer is committed to delivering high-quality, safe, and effective products to those who need them most. Within our Digital division, we foster a science-driven, risk-aware quality culture that supports our mission to improve patient outcomes through innovation and technology.

We are seeking a Data Scientist to join the SAP Analytics Enablement (SAE) team. This team is responsible for developing SAP-based operational analytics and machine learning solutions that drive digital transformation across the enterprise.

As a Data Scientist and Advanced Analytics Solution Developer, you will play a critical role in designing and delivering analytical products that address complex business challenges.

Key Responsibilities

• Collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions.
• Lead the full machine learning lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
• Analyze large, complex datasets to extract meaningful insights and support decision-making.
• Develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users.
• Optimize model performance through hyperparameter tuning and model selection.
• Continuously enhance models to better align with evolving business needs.
• Partner with support and operations teams to deploy new and updated analytical solutions.

Strategic Impact

This role is central to advancing SAE’s AI, Data & Analytics strategy by:

• Partnering with high-performing teams across the enterprise
• Supporting research and innovation initiatives
• Identifying and applying emerging technology trends
• Driving measurable value for internal and external stakeholders

Role & Responsibilities

• Drive the development and enhancement of Pfizer’s SAP Analytics systems, leading hands-on initiatives to deliver cutting-edge digital solutions and fostering innovation throughout the application lifecycle
• Define and set objectives for the vendor application team’s operations, prioritizing resources and planning/deploying solution deliverables to support business requirements
• Provide technical and application knowledge leadership to the members of the vendor application development team, leveraging technical and functional expertise across multiple disciplines
• Partner with support and operations teams to share knowledge of Pfizer’s new technologies and processes; both to define and implement support requirements and to manage the transition of products and solutions to long-term operations support.
• Take well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation and change management

Basic Qualifications

• Bachelor’s degree or higher in technical discipline (computer science, engineering, etc.)
• 4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field
• Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus
• Experience in Linear Algebra, Probability & Statistics, Multivariate Calculus; programming with SQL, Python
• Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning
• Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
• Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/ algorithms to production
• Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
• Ability to present complex information in a clear and concise manner.

Preferred Qualifications

• Pharmaceutical industry experience
• Knowledge of SAP BDC including Datasphere and Databricks
• Design Replication Flows in Datasphere .
• Develop and maintain Spaces, Local Tables, Views, Data Flow, Replication Flow, Transformation Flow, DAC, Task Chain, and Intelligent Lookup within SAP Datasphere

  
Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech