Data Scientist

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A global technology solutions firm in Singapore is seeking a Data Scientist experienced in Logistics, Retail, or Pharma. This role involves building machine learning models for supply chain analytics, analyzing large datasets, and ensuring compliance with regulatory standards. The ideal candidate has 8+ years in Data & Analytics, strong proficiency in big data technologies, and experience with visualization tools like Tableau and Power BI. Opportunities for innovation in supply chain analytics are included.

Qualifications

• Strong focus on Life Sciences Supply Chain.
• Hands-on experience with big data technologies like Hadoop and PySpark.
• Proficiency in cloud-based analytics platforms.

Responsibilities

• Analyze large datasets from ERP, MES, and LIMS systems.
• Develop and validate predictive models for demand sensing.
• Implement data governance practices for compliance.

Skills

Data analysis

Machine Learning

Big Data Technologies

Data Visualization

Education

8+ years of experience in Data & Analytics

Tools

AWS

Azure

Python

R

Tableau

Power BI

Job description

Data Scientist with Domain ( Logistics/ Retail/Pharma), Experience in Building ML models (Recommendation/ Prediction) with Big Data Analytics Technology background

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 chainlogistics.
• Model Development for Supply Chain OptimizationDevelop and validate predictive models and algorithms for demand sensing, capacity planning, lot traceability, and risk mitigation across global pharmaceutical supply chains.
• Cross-Functional CollaborationWork 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 VisualizationCreate 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

• 8+ 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.