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Lead Data Scientist

Job Summary:We’re looking for a senior data science leader with 10+ years of professional AI/ML experience and strong hands-on expertise in both traditional ML and Generative AI/NLP. Must have: 10yrs in Data Science, EHR & PhD (Education) Key Requirements:<ul><li>10+ years building commercial AI/ML solutions with measurable business impact</li><li>Expert-level Python; experience with R and/or SQL</li><li>Strong expertise in traditional ML, including regression, decision trees, Random Forest, XGBoost/LightGBM/CatBoost, ensemble methods, clustering, PCA, and anomaly detection</li><li>Strong knowledge of model validation, cross-validation, hyperparameter optimization, and A/B testing</li><li>Hands-on experience with deep learning, neural networks, transformers, and transfer learning</li><li>Expert knowledge of NLP, including text preprocessing, TF-IDF, embeddings, topic modeling, sentiment analysis, and NER</li><li>Strong Generative AI/LLM expertise, including model evaluation, fine-tuning, and integrating local/commercial LLMs</li><li>Hands-on experience building GenAI applications such as RAG systems, LLM evaluation frameworks, or internal GenAI tools</li><li>Expertise with Databricks or a similar cloud-based ML ecosystem, including MLflow, experimentation, data catalogs, and compute configuration</li><li>Knowledge of ML Engineering/MLOps, including CI/CD, GitHub Actions, Docker, AWS Lambda, and Linux</li><li>Strong software engineering practices including Git, unit testing, local development, and environment management</li><li>Experience working with Electronic Health Records (EHR) and/or unstructured data is highly valuable</li><li>Ability to partner with Product, Business Development, ML Engineering, and IT teams and translate business needs into scalable data science solutions</li><li>Relevant degree in Computer Science, Data Science, Statistics, Mathematics, Actuarial Science, Economics, or a related field</li></ul>.

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