Job Description
🚀 Hiring: Lead Data Scientist | 10–12 Years
We are looking for an experienced Lead Data Scientist who can set technical direction, own end-to-end ML solutions, and lead a team of Data Scientists/Engineers.
Experience: 10–12 Years
Role: Lead Data Scientist
What You’ll Do
• Own the complete model lifecycle — problem framing, feature engineering, model selection, training, validation, deployment, monitoring & retraining
• Make and defend architecture-level decisions across classical ML and deep learning
• Design and execute A/B testing, causal inference and uplift modeling experiments
• Build production-grade feature pipelines and training infrastructure at scale
• Monitor model performance, data drift and degradation; drive retraining, redesign and rollback decisions
• Set technical standards for modeling, experimentation, code reviews and MLOps
• Mentor 2–4 Data Scientists/Engineers
• Act as the primary technical point of contact for clients and communicate complex model trade-offs clearly to non-technical stakeholders
Must-Have Skills
✅ 10–12 years of Data Science experience with proven production model ownership
✅ Strong expertise in Classical ML — Regression, Classification, XGBoost, LightGBM
✅ Strong Deep Learning expertise in at least one area: NLP, Forecasting, Recommendation Systems or Computer Vision
✅ Genuine hands-on experience with Snowflake
✅ Production-scale feature engineering and training infrastructure
✅ Distributed computing — Spark, Ray or equivalent
✅ Strong MLOps experience — MLflow/model registries, CI/CD, automated retraining, monitoring & drift detection
✅ Cloud ML platforms — Databricks, SageMaker, Vertex AI, Azure ML, etc.
✅ GenAI/LLM experience — RAG/retrieval design, evaluation frameworks and understanding of failure modes
✅ Strong Python & SQL
✅ Technical leadership, mentoring and model/code review experience
✅ Excellent client-facing communication and consulting skills
✅ Prior consulting / professional services experience preferred
⭐ Primary Skills
Python | SQL | Snowflake | Classical ML | XGBoost | LightGBM | Deep Learning | Causal Inference | A/B Testing | Uplift Modeling | Spark | Ray | MLOps | MLflow | GenAI | LLM | RAG | Cloud ML Platforms
Why Join us?
• People-first culture with a strong focus on diversity & inclusion
• Recognized as a Great Place to Work
• Exposure to AI, Data Analytics, Cloud, IoT and Telehealth
• Opportunities to work on impactful Healthcare and BFSI projects
• Strong opportunities for growth, mentorship and learning