Data Scientist – Predictive Analytics, Expert

Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. Working as part of cross-functional teams, this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates.

Requirements

• Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid.
• Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible models,
• Serves as the technical lead for the development of predictive/reliability analytics models.
• Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models)
• Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility.
• Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals.
• Communicate technical concepts and model results to internal/external stakeholders.
• Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
• Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.
• Act as peer reviewer of complex models

Benefits

• 401k Matching
• Retirement Plan
• Discretionary Incentive Compensation Programs