Data Scientist

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