Senior Data Scientist - Life Sciences Supply Chain & AI

Cognizant; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading technology consulting company is seeking an experienced Data Scientist specializing in Supply Chain. The role involves analyzing complex datasets, developing predictive models, and collaborating across departments to enhance supply chain efficiency. Ideal candidates will have over 14 years of experience in Data & Analytics, a strong background in life sciences, and proficiency in data technologies like Hadoop and Python. This position offers a dynamic work environment and opportunities for innovation in analytics.

Qualifications

• 14+ years of experience in Data & Analytics, with strong focus on Life Sciences Supply Chain.
• Hands-on experience with big data technologies and cloud-based platforms.
• Proficiency in Databricks, Python, R, and AWS/Azure services.
• Deep understanding of pharmaceutical supply chain processes.
• Familiarity with data visualization tools and supply chain planning systems.
• Knowledge of regulatory compliance and working with structured and unstructured data.

Responsibilities

• Analyze large datasets from ERP, MES, and LIMS systems for actionable insights.
• Develop predictive models and algorithms for supply chain optimization.
• Collaborate with teams to address operational challenges with analytics solutions.
• Implement data governance practices to ensure data integrity.
• Create dashboards and reports for real-time supply chain monitoring.
• Stay updated on developments in AI/ML for supply chain analytics.

Skills

Data Analysis

Model Development

Cross-Functional Collaboration

Data Governance

Machine Learning

Cloud Computing

Data Visualization

Tools

Hadoop

Python

R

AWS

Azure

Power BI

Tableau

SAP IBP

Job description

A leading technology consulting company is seeking an experienced Data Scientist specializing in Supply Chain. The role involves analyzing complex datasets, developing predictive models, and collaborating across departments to enhance supply chain efficiency. Ideal candidates will have over 14 years of experience in Data & Analytics, a strong background in life sciences, and proficiency in data technologies like Hadoop and Python. This position offers a dynamic work environment and opportunities for innovation in analytics.