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Role : Lead Data Scientist/AI/ML
Experience : 7 to 12 years
Mandate skill : Agentic AI (Min 3 months), Python, SQL, A/B Testing and Hypothesis Testing, Experimentation, ML Modelling. Some experience on Tableau. Strong storytelling, and Strategic Thinking skillset.
This role requires strong statistical expertise, business acumen, and the ability to influence cross-functional stakeholders through data-driven insights.
Key Responsibilities:
Preferred Qualifications
Conduct rigorous A/B testing, quasi-experimental designs, and advanced statistical analyses to derive actionable insights
Job ID: 150952897
Skills:
Tensorflow, Hive, Pytorch, Hadoop, Docker, Kubernetes, Python, Sql, Deep Learning, GenAI, LLMs
Skills:
data engineering , advanced Excel, databricks, Data Visualization, Qlikview, Python, Sql, Relational Databases, AI-driven analytics, scenario analysis, ETL processes
Skills:
causal inference , Tensorflow, Numpy, Deep Learning, Pytorch, Pandas, Gcp, Machine Learning, Azure, AWS, reinforcement learning, Cloud platforms, Scikit-learn, Gradient boosting, Statistical Modeling, Bayesian Methods, Probabilistic forecasting, Time-series forecasting, Python ecosystem
Skills:
python, Sql, aws, ml frameworks, cloudbased solutions
Skills:
Java, Node.js, Sql, Microservices, React, Gcp, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, Python, AWS, LLMs, GenAI APIs, NoSQL databases, modern JavaScript, CICD pipelines, vector stores, RAG architectures