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                    Mathematical Science Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                Job Description: Data Scientist – Intelligent Procurement Initiative
Position Overview
We are seeking a highly skilled and innovative Data Scientist to join the Intelligent Procurement initiative.
This role will be pivotal in designing, developing, and deploying AI/ML solutions that drive procurement transformation.
Key Responsibilities
- Develop and operationalize AI/ML models for Intelligent procurement platform by leveraging AWS cloud services, databricks, Langchain & Langraph.
- Build and maintain data pipelines for structured and unstructured data ingestion, preprocessing, and transformation.
- Implement and manage MLOps workflows including model lifecycle, observability, and explainability.
- Collaborate with cross-functional teams (analytics, business, infra) across phases: discovery, design, development, validation, deployment, and governance.
- Contribute to the AgentOps ecosystem: prompt registry, memory management, and agent configuration.
- Ensure compliance with governance, risk, and audit protocols.
Required Qualifications
- Bachelor’s/Master’s or PhD in Data Science, Computer Science, Statistics, or related field.
- 5+ years of experience in applied machine learning, statistical modeling, and data engineering.
- Proficiency in Python, SQL, and cloud platforms (AWS preferred).
- Experience with tools such as SageMaker, LangChain, Bedrock, OpenSearch, and Terraform.
- Strong understanding of procurement domain data: supplier performance, pricing trends, risk indicators etc.
- Familiarity with GenAI applications, semantic similarity, and graph-based recommendations.
Preferred Skills
- Experience with Agentic AI frameworks and multi-agent orchestration.
- Knowledge of procurement systems like Coupa, Synertrade and SirionLabs.
- Ability to design and implement continuous learning systems and feedback loops.
Work Environment
- Agile, cross-functional squads.
- Hybrid work model with presence in Bengaluru office preferred.
            
         
  
  
  
        
        
        
        
        
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