V-Mart Retail - Lead - Data Science

Description:

Key Responsibilities:

Strategic Leadership & Cross-Functional Collaboration:

- Partner with Business Heads to identify high-impact opportunities where data science can unlock measurable value.

- Drive alignment between business priorities and technical execution, ensuring data initiatives translate into business outcomes.

- Shape the long-term roadmap for AI adoption and autonomous retail systems.

Hands-On Technical Leadership:

- Architect scalable data science frameworks and reusable accelerators deployable across multiple business units.

- Build proof-of-concepts and foundational models ground-up, setting technical benchmarks and coding standards.

- Lead exploratory data analysis (EDA) to discover actionable insights, anomalies, and opportunities hidden in large-scale retail datasets.

People & Team Development:

- Hire, groom, and develop a high-caliber team of data scientists and ML engineers, instilling ownership and accountability.

- Establish knowledge repositories, coding best practices, and reusable frameworks to accelerate delivery.

- Foster a culture of experimentation, innovation, and technical excellence, while ensuring collaboration across diverse teams.

Impact:

This role is pivotal to making VMarts future operations data-first, insight-rich, and decision-automated. By combining strategic vision with technical depth, you will enable VMart to move from manual, people-led retail execution to AI-powered, autonomous retail operations, creating significant competitive advantage.