Lead - Data Science

2 days ago

bangalore, India V-Mart Retail Ltd. Full time

You will be one of the key leaders in transforming VMart into a truly data-led, people-agnostic organization . This role goes beyond analytics — it is about re-architecting core retail processes , historically dependent on individual judgment, into automated and ultimately autonomous systems . The vision is to build a colony of digital twins for core processes, capable of making autonomous, data-driven decisions with human-in-the-loop governance. Responsibilities: 1. 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. 2. 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. 3. 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. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related fields. At least 5 years of experience in data science, AI, and machine learning, with a minimum of 3 years of experience in leading and managing a team of data scientists, machine learning engineers, and AI specialists. Strong proficiency in statistical analysis, machine learning, and AI techniques. Hands-on experience with data science, AI, and machine learning tools such as Python, R and SQL. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. Strong problem-solving and analytical skills, with the ability to think strategically and creatively. Strong project management skills, with the ability to manage multiple projects simultaneously.

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