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

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