Data Science Manager

Lead Data Scientist

Experience: 8+ Years

Location: Bangalore, India

Job Purpose

As a Lead Data Scientist, you will spearhead the development of next-generation AI solutions for one of the worlds largest retail ecosystems. You will move beyond static modeling to build Agentic AI systems capable of autonomous reasoning and real-time decision-making across supply chain, pricing, and personalized customer journeys. You will be a hands-on technical leader, mentoring senior talent and defining the architectural vision for complex, large-scale data products.

Key Responsibilities

• Strategic Leadership: Define the roadmap for Agentic AI and Advanced ML initiatives, aligning technical capabilities with global business goals such as waste reduction and inventory optimization.
• End-to-End Delivery:
  
  Lead the design and deployment of scalable ML models on big data architectures (Hadoop/Spark), ensuring production-grade reliability and performance.
• Expert Problem Solving: Apply advanced Optimization algorithms and Design of Experiments (DoE) to solve non-linear business challenges in logistics and retail operations.
• Technical Mentorship: Drive engineering excellence by enforcing best practices in GitHub workflows, modular code design, and automated testing.
• Stakeholder Influence: Translate complex mathematical outcomes into clear, actionable narratives for executive leadership using Tableau and PowerPoint.

Required Skills & Qualifications

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  Advanced ML & Math: Deep expertise in Regression, Decision Trees, Clustering, and Forecasting. Mastery of Applied Statistics and NLP (specifically LLMs and Agentic Frameworks).
• Tech Stack: Expert-level Python and SQL. Hands-on experience with Spark/Hadoop and large-scale data processing.
• Domain Expertise: Proven track record in retail, e-commerce, or supply chain analytics, specifically using Optimization for inventory or pricing.
• Education: Masters or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field.