Data Scientist

Data Scientist JD for Supply Chain:

Key Responsibilities
•Supply Chain Data Analysis and Interpretation, analyze large and complex datasets from ERP, MES, and LIMS systems to identify trends, patterns, and actionable insights for improving demand forecasting, inventory optimization, and cold chain logistics.
•Model Development for Supply Chain Optimization-Develop and validate predictive models and algorithms for demand sensing, capacity planning, lot traceability, and risk mitigation across global pharmaceutical supply chains.
•Cross-Functional Collaboration Work closely with manufacturing, quality, clinical supply, and distribution teams to understand operational challenges and deliver tailored analytics solutions that ensure compliance with GxP and regulatory standards.
•Data Management & Compliance Implement robust data governance practices to maintain data integrity and quality, ensuring adherence to FDA, EMA, and other regulatory requirements for life sciences operations.
•Reporting and Visualization Create intuitive dashboards and reports for real-time supply chain monitoring, leveraging tools like Power BI, Tableau, or Spotfire to communicate insights to stakeholders.
•Innovation in Supply Chain Analytics Stay updated on the latest developments in AI/ML for supply chain, including digital twin modeling, predictive maintenance, and blockchain for serialization, applying innovative techniques to solve complex challenges.

Preferred Qualifications
•14+ years of experience in Data & Analytics, with a strong focus on Life Sciences Supply Chain.
•Hands-on experience with big data technologies (Hadoop, PySpark) and cloud-based analytics platforms (AWS, Azure).
•Proficiency in Databricks, Python, R, and AWS/Azure services such as SageMaker, Glue, Lambda, Step Functions, and EMR.
•Deep understanding of pharmaceutical supply chain processes, including cold chain logistics, serialization, and clinical trial supply.
•Familiarity with data visualization tools (Tableau, Power BI) and supply chain planning systems (SAP IBP, Kinaxis).
•Knowledge of regulatory compliance (GxP, FDA, EMA) and experience working with structured and unstructured data from ERP and manufacturing systems.