Lead Data Scientist at System Soft Technologies Lead Data Scientist at System Soft Technologies in Waukesha, Wisconsin Posted in about 13 hours ago.

Type:

full-time

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