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