Lead - Data Science

4 days ago

Gurgaon, Haryana, India V-Mart Retail Ltd. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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