Data Scientist

The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering, benchmarking, and deployment preparation. This person will apply scientific methodology to extract insights and create predictive capabilities from data. This person will analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance.

This person will design and execute model validation and testing procedures, tune hyperparameters to optimize model performance, and prepare models for production deployment. This person will create data visualizations to communicate findings and model results, collaborate with subject matter experts to incorporate domain knowledge, and document methodologies and results.

This person will stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists. This person will ensure models meet requirements for accuracy, performance, and explainability, collaborate with AI/ML engineers for model deployment, and participate in data governance activities.