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
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
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