Lead Data Scientist - Artificial Intelligence/Machine Learning (8-13 yrs)

Job Description :

As our Lead Data Scientist, you'll own the entire AI charter - from setting the vision to hands-on execution. You'll work on cutting-edge problems in logistics intelligence, last-mile automation, LLM-powered agents, and predictive modeling that directly impact millions of shipments every day. This is not just a leadership role, it's a builder's role. We're looking for someone who loves to roll up their sleeves, code alongside the team, and drive measurable outcomes with AI.

Responsibilities :

- Lead End-to-End Projects : Own the complete lifecycle of AI/ML initiatives - from problem definition and data gathering to model deployment and monitoring in production.

- Code. Innovate. Scale : Build state-of-the-art models using ML, deep learning, and LLMs to power logistics automation. Evaluate and deploy models in real-world settings with massive data volumes.

- Build & Nurture the Team : Grow and lead a high-performing team of data scientists and ML engineers. Mentor talent, shape culture, and lead by example.

- Cross-Functional Impact : Partner with engineering, product, and ops to ship data science features that move business metrics at scale.

- Shape AI Strategy : Drive innovation and influence company-wide decisions with data. You'll be a key voice in strategic planning for our AI roadmap.

- Champion Best Practices : Evangelize modern AI/ML tooling, experimentation pipelines, and MLOps standards.

Requirements :

- 8+ years of deep experience in applied data science, AI, and ML, including LLMs and predictive modeling.

- Proven success in taking AI projects from idea to impact, with a strong portfolio of shipped initiatives.

- Fluency in Python (or R), and familiarity with modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).

- Hands-on leadership experience of 3+ years, with the ability to inspire and upskill teams.

- A strategic thinker and excellent communicator - you can explain models to CXOs and junior devs alike.

- Self-starter mindset with strong problem-solving skills and a bias for action.