An expert in sourcing and procurement operations domain and Data Science skills.
Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics.
Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc.

Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions.
Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis
Collaborate with IT and procurement teams to improve data integration and system automation.

Experience and Education:

A minimum 5-10 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred.
Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science).
Certifications in one or more areas will be an added advantage: Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS).

Mandatory Skills:

Proven ability to drive analytics-driven procurement transformation projects.
Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models.
Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics.
Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau).
Excellent written and verbal communication skills, with the ability to interact with senior stakeholders.

Data Scientist