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
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Collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions.
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Lead the full machine learning lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
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Analyze large, complex datasets to extract meaningful insights and support decision-making.
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Develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users.
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Optimize model performance through hyperparameter tuning and model selection.
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Continuously enhance models to better align with evolving business needs.
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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:
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Partnering with high-performing teams across the enterprise
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Supporting research and innovation initiatives
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Identifying and applying emerging technology trends
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Driving measurable value for internal and external stakeholders
ROLE & RESPONSIBILITIES
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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
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Define and set objectives for the vendor application team’s operations, prioritizing resources and planning/deploying solution deliverables to support business requirements
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Provide technical and application knowledge leadership to the members of the vendor application development team, leveraging technical and functional expertise across multiple disciplines
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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.
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Take well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation and change management
BASIC QUALIFICATIONS
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Bachelor’s degree or higher in technical discipline (computer science, engineering, etc.)
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4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field
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Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus
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Experience in Linear Algebra, Probability & Statistics, Multivariate Calculus; programming with SQL, Python
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Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning
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Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
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Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/ algorithms to production
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Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
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Ability to present complex information in a clear and concise manner.
PREFERRED QUALIFICATIONS
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Pharmaceutical industry experience
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Knowledge of SAP BDC including Datasphere and Databricks
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Design Replication Flows in Datasphere .
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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
