Lead Data Scientist

Job description

**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** - **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:** Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field.