Data Scientist
India
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Job Description
Data Scientist
Chennai, Tamil Nadu

Job Summary

 

☑ Level of Education

  • Bachelor’s degree with 10+ years within Digital & Technology environment and within E2E supply chain.
  • Strong skills in managing and building Data Products and designing Data Architecture for large enterprises.

☑ Experience

  • Strong hands-on experience in SQL, relational databases, data exploration, and Business Intelligence tools (Tableau, Power BI, or equivalent).
  • Proven ability in logical problem-solving, data design, and analytical thinking, with working exposure to Python or similar scripting languages preferred.
  • Advanced proficiency in Excel for data analysis, validation, and dashboard-ready presentations.
  • Solid experience ensuring data quality, integrity, and compliance across enterprise reporting and data products.
  • Hands-on domain experience across Demand, Supply, Inventory Planning, Logistics Operations, and Manufacturing within Pharma / Consumer Health environments.
  • Strong understanding of planning, data management, order management, logistics execution, and visualization platforms.
  • Excellent communication and stakeholder management skills, with the ability to influence and collaborate across global, multi-level stakeholders.

Key Responsibilities

 

Data Architecture Design & Data Product Delivery (BUILD)         

• Design scalable, reusable data architectures for Global Logistics domains (shipments, lanes, carriers, inventory, cost, compliance) and define Data models, products aligned with Enterprise

• Lead end-to-end delivery of logistics data products development

• Translate business requirements into technical architecture

 

Data Quality, Operational Stability & Reliability (MAINTAIN)      

• Own data quality, availability, and freshness of logistics data assets. Implement monitoring, alerting, and remediation frameworks

• Reduce recurring data issues and manual reconciliations

• Ensure stable operation of data pipelines with partners

 

System & Vendor Integration (INTEGRATE)         

• Architect and manage integrations between TMS, WMS, ERP, IoT and external partners (3PLs, carriers, customs brokers)

• Enable API-based, event-driven, and batch integrations

Data Enablement for Analytics & AI (INTEGRATE)

• Enable consumption of Logistics data for AI/ML, Analytics

• Partner with Analytics, Product, and Digital Teams for Insights

 

Legacy Modernization & Migration (EXIT)          

• Lead data migration strategies during system modernization

• Ensure no business disruption or data loss during transitions

Technology Rationalization (EXIT)            

• Identify opportunities to decommission obsolete data assets and pipelines & reduce technical debt and platform sprawl.

• Support business cases for platform consolidation & optimal costs

 

Governance & Compliance        

• Ensure data architecture complies with GxP, SOx, Audit needs

• Enforce metadata, lineage, access, and retention standards.

• Act as a gatekeeper for architecture quality

Team Leadership, Capability Building & Stakeholder Partnership  • Mentor and guide Senior Associates and technical contributors.

• Provide architectural direction and design reviews.

• Serve as a trusted data architecture partner

Skill Requirements

☑ Languages

  • English

☑ Computer Skills

  • Strong proficiency in SQL, relational databases, and data querying.
  • Strong experience with Business Intelligence tools (Power BI, Tableau).
  • Python or other scripting languages and cloud data platforms.
  • Advanced skills in Microsoft Excel and presentation tools for analytics communication.
  • Hands-on experience in:
    • Tableau (Must)
    • Python (Must)
    • DATAIKU (Must)
    • SQL
    • Database Management
    • Query Languages

Additional Preferred Skills

  • Data Architecture and Data Product Management
  • Enterprise Data Modeling
  • Supply Chain & Logistics Analytics
  • Cloud-Based Data Platforms
  • Data Governance and Compliance (GxP, SOX)
  • Stakeholder Management and Cross-Functional Collaboration
  • AI/ML Data Enablement and Analytics Integration

Other Requirements

 

Additional Preferred Skills

  • Data Architecture and Data Product Management
  • Enterprise Data Modeling
  • Supply Chain & Logistics Analytics
  • Cloud-Based Data Platforms
  • Data Governance and Compliance (GxP, SOX)
  • Stakeholder Management and Cross-Functional Collaboration
  • AI/ML Data Enablement and Analytics Integration
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.