About this role

We are looking for a Lead Data Scientist comfortable framing an ambiguous business problem, someone with broad methodological range and the flexibility to choose the right approach for each problem.

What you’ll do
Partner with stakeholders to frame the problem & developmethodology across the full spectrum.Work directly with business leaders and domain experts to translate ambiguous questions into well-posed analytical problems, align on success metrics, communicate trade-offs clearly, and recommend the most effective approach: Supervised Learning, Unsupervised Learning, NLP, Generative / Agentic AI, Causal Machine Learning, Optimization, Recommendation Systems and Forecasting or rule-based decision based on impact, constraints, and maintainability- Build and own end-to-end production systems.delivering robust, observable services that run reliably at scale i.e., from data cleaning and feature engineering through model development, evaluation, deployment, monitoring, retraining and incident




Set the technical bar and lead by example.Define and uphold standards for experimental design, offline/online evaluation, A/B testing, causal validity, model governance and reproducibility then reinforce them through hands-on mentorship, pairing on hard problems and thoughtful code/design reviews that grow the team’s craft and depth

What you’ll need

This role is designed for a hands-on Data Science leader who combines strong fundamentals with solid engineering instincts. You’ll likely recognize yourself in many of the following:
Robust judgment.You balance rigor, speed and maintainability and can explain trade-offs in a way that helps teams and stakeholders make positive decisions
Hands-on, by choice.You write production-quality Python code, review code thoughtfully and treat coding as a core part of how you build and think
Systems builder.You’ve taken solutions from a blank repo to production systems that real users or business processes depend on
Str

📌 Lead Data Scientist Gurugram
🏢 Gartner
📍 Gurugram