Requirements

This job independently executes key elements of projects/processes within the Data Science area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur.

• Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards.
• Refines and optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness.
• Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization.
• Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices.
• Translates complex data insights into strategic recommendations for senior leadership, supporting decision-making and innovation.
• Contributes to the development of best practices, standards, and knowledge sharing within the team.
• Documents models, processes, and methodologies to ensure reproducibility and ongoing improvement.
• May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Data Science area.