Research and develop new methods to build, test and monitor AI consistent with UHG guiding principles for Responsible Use of AI (quality, explainability, fairness, security, accountability, and continuous improvement); Design and build new tools to implement AI performance and fairness testing and monitoring in partnership with legal, compliance, and engineering teams; Play a key leadership role in the Machine Learning Review Board to provide direct oversight and review of proposed AI from teams across Optum, UHG and UHC (UnitedHealthcare)
Requirements:
Master’s degree in computer science, engineering, mathematics, statistics, or related STEM discipline; 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering; 8+ years of experience in Python, R, or other programming languages for data analysis and AI/ML development; 8+ years of experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn
Text:
Senior Director Data Science, Responsible Use of AI Research and develop new methods to build, test and monitor AI consistent with UHG guiding principles for Responsible Use of AI (quality, explainability, fairness, security, accountability, and continuous improvement); Design and build new tools to implement AI performance and fairness testing and monitoring in partnership with legal, compliance, and engineering teams; Play a key leadership role in the Machine Learning Review Board to provide direct oversight and review of proposed AI from teams across Optum, UHG and UHC (UnitedHealthcare) Master’s degree in computer science, engineering, mathematics, statistics, or related STEM discipline; 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering; 8+ years of experience in Python, R, or other programming languages for data analysis and AI/ML development; 8+ years of experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn
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