Job Description
???? Hiring: Lead Data Scientist | 10–12 Years
nWe 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.
nExperience: 10–12 Years
nRole: Lead Data Scientist
nWhat You’ll Do
n• Own the complete model lifecycle — problem framing, feature engineering, model selection, training, validation, deployment, monitoring & retraining
n• Make and defend architecture-level decisions across classical ML and deep learning
n• Design and execute A/B testing, causal inference and uplift modeling experiments
n• Build production-grade feature pipelines and training infrastructure at scale
n• Monitor model performance, data drift and degradation; drive retraining, redesign and rollback decisions
n• Set technical standards for modeling, experimentation, code reviews and MLOps
n• Mentor 2–4 Data Scientists/Engineers
n• Act as the primary technical point of contact for clients and communicate complex model trade-offs clearly to non-technical stakeholders
nMust-Have Skills




n✅ 10–12 years of Data Science experience with proven production model ownership
n✅ Robust expertise in Classical ML — Regression, Classification, XGBoost, LightGBM
n✅ Strong Deep Learning expertise in at least one area: NLP, Forecasting, Recommendation Systems or Computer Vision
n✅ Genuine hands-on experience with Snowflake
n✅ Production-scale feature engineering and training infrastructure
n✅ Distributed computing — Spark, Ray or equivalent
n✅ Strong MLOps experience — MLflow/model registries, CI/CD, automated retraining, monitoring & drift detection
n✅ Cloud ML platforms — Databricks, SageMaker, Vertex AI, Azure ML, etc.
n✅ GenAI/LLM experience — RAG/retrieval design, evaluation frameworks and understanding of failure modes
n✅ Strong Python & SQL
n✅ Technical leadership, mentoring and model/code review experience
n✅ Excellent client-facing communication and consulting skills


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