Data Scientist

AI Engineer (Data Scientist)Required Skills & Experience• Strong collaboration, communication, and documentation skills• Proven experience working with large, distributed datasets• Experience with data exploration, statistical analyses, and visualizations.• Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods.• Strong background in supervised/unsupervised machine learning, or natural language processing (NLP).• Experience with advanced Named Entity Recognition (NER) techniques to extract structured entities from text data• Demonstrated mastery of prompt engineering methods—prompt engineering, fine-tuning, self-reflection, chain-of-thought reasoning, and declarative prompting• Experience with Databricks platform.• Strong software development skills.• Experience using Git for version control in a collaborative team environment, including branching, pull requests, and code review.Nice to Have Skills & Experience• Experience with using Claude Code for coding assistance• Hands-on experience developing and orchestrating AI agents or agentic workflows using LLM frameworks.• Classification – decision trees, logistic regression, random forest, SVM, neural networks• Familiarity with healthcare or life sciences datasets — electronic medical records (EMR), radiology, pathology, or epidemiological data preferred.• Knowledge of veterinary health informatics, disease taxonomy, or ontology-based data integration.Job DescriptionWe are seeking an experienced AI Engineer (Data Scientist) to develop AI-powered solutions that advance veterinary health care. Using Python, the Databricks platform and various generative AI tools, you will design models and analytical workflows that support clinical decision support systems, disease risk modeling, and automated interpretation of radiology and pathology reports. This role combines exceptional technical expertise with domain awareness in animal health and diagnostic data.