Data Scientist

Chennai, Tamil Nadu

Job Summary

- Level of Education

- Bachelor’s degree with 10+ years within Digital & Technology setting 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

📌 Data Scientist (India)
🏢 HCLTech
📍 India