Lead - Data Science

data-led, people-agnostic organization

colony of digital twins

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.