Principal Data Scientist - R01551388

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Principal Data Scientist Primary Skills - ML & GenAI Expertise – LLMs (GPT, RAG), NLP, Deep Learning - MLOps & Deployment – Model lifecycle management, CI/CD, monitoring - Data Engineering – Scalable data pipelines, big data tools (Databricks/Spark) - Programming – Python, SQL, TensorFlow/PyTorch - Leadership – Team mentoring, AI strategy, stakeholder collaboration. - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements - Education : Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or related fields. - Experience : - Overall 12+ years of experience, including 2+ years in delivering AI-powered products . - Minimum 2 years of dedicated Product Management experience . - At least 1 year of experience with GPT/LLM model development (pre-processing, feature selection, hyper-parameter tuning). - Technical Expertise : - Hands-on experience with Agentic AI and Graph RAG solutions. - Skilled in developing and training GPT/LLM models for applications such as chatbots, Q&A systems, and recommendation engines. - Strong background in data analysis, pre-pro

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