Description

You will design and implement data-driven optimization models for supply chain management. You will own the end-to-end data pipeline, from extraction in Oracle databases to deployment on Azure cloud. Your work will directly improve operational efficiency through predictive analytics and machine learning.

This role is hybrid.

Responsibilities

• Develop and deploy machine learning models using TensorFlow, Scikit-learn, and PyTorch.
• Build and maintain ETL pipelines using Python, Pandas, and NumPy.
• Query and manage large datasets in Oracle databases using SQL.
• Translate complex analytical findings into actionable insights for non-technical stakeholders.

Required Skills

• 5+ years of experience in data science or machine learning engineering.
• Strong proficiency in Python (Pandas, NumPy).
• Hands-on experience with ML frameworks: TensorFlow, Scikit-learn, PyTorch.
• Experience with Oracle Databases and advanced SQL.
• Practical experience with Azure Cloud solutions.
• Proven background in supply chain management or optimization.
• Strong analytical and problem-solving mindset.

Preferred Skills

• Excellent communication skills for presenting technical concepts to non-technical audiences.

Key Skills

Education

Any Graduate