Lead Data Scientist in Brookfield

Job Description

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:

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

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