Description

Key Skills: Data Scientist, SCM, AI/ML

Roles and Responsibilities:

• Develop and deploy AI/ML predictive and prescriptive models for demand forecasting, inventory optimization, replenishment, capacity planning, supplier risk analytics, logistics optimization, network design, and margin analysis.
• Analyze large, complex supply chain datasets from ERP, planning, logistics, and external sources to identify patterns, risks, and opportunities.
• Build scenario simulations and what-if analyses to support supply chain decision-making.
• Apply advanced statistical techniques and machine learning methods to improve forecast accuracy, service levels, and optimization outcomes.
• Productionize models and continuously improve them using MLOps practices and business feedback.

Skills Required:

• 3-8+ years of experience in data science and AI/ML with real-world supply chain analytics.
• Data science and AI/ML expertise with strong supply chain exposure.
• Strong proficiency in Python or R and SQL for end-to-end analytics and modeling.
• Expertise in machine learning techniques including regression/time series, clustering, and optimization.
• Experience with AI/ML model deployment (MLOps) and cloud analytics platforms (Azure, AWS, GCP).

Good to Have:

• Experience with visualization tools such as Power BI or Tableau.
• Hands-on work on scenario simulation, what-if analysis, and supply chain planning processes.
• Experience applying statistical modeling and advanced analytics to supply chain problems.

Education: Any Graduation (Computer Application or related field preferred)

Key Skills

Education

Any Graduate