Data Scientist (Python, ML, SQL)

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