Principal Supervisor - Data Science

Job Summary

Leads team that develops analytics strategies, identifies effective performance metrics, and recommends Business Intelligence (BI) technologies and applications. Provides oversight of analytical professionals in developing and implementing Business Intelligence (BI), Artificial Intelligence (AI), and Machine Learning (ML) projects. Advises senior leadership and enterprise stakeholders using sound analyses and data‑driven insights. Leads a team of individual contributors.

Testing

Required:

Hybrid Role:
This role is hybrid, with an established schedule of in‑person work required at an assigned work location. Any remote work is expected to be performed from an employee's primary residence, unless allowed (or prohibited) through the Company's remote work guidelines.

Emergency Response:
Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers.

• Oversees a team of analysts and data scientists in the application of data science methods to identify business opportunities, predict performance outcomes, and provide tactical and strategic recommendations
• Translates business and analytics strategies into multiple short‑term and long‑term projects, and ensures end‑to‑end execution of projects
• Supports scientific, measurable, and fact‑driven approaches by adding statistical rigor to business recommendations
• Implements new, industry‑leading statistical, mathematical, machine‑learning, or other methodologies for modeling or analyses
• Discovers insights from Big Data to help shape or meet specific business needs and goals
• Identifies and evaluates technologies and provides strategic input to advance the organization's analytics capabilities
• Utilizes business expertise to translate goals into data‑based deliverables, such as predictive models, pattern detection analysis, or optimization algorithms and methods
• Ensures the accomplishment of core supervisory/management functions for a given group(s) within a business unit: planning, organizing, directing the performance of ongoing activities and/or special/ad‑hoc assignments, staffing (employee selections, training, coaching and performance management, time entry), coordinating, reporting, and budgeting
• Leads the continuous improvement commitment and efforts for the team, including designing processes, establishing quality and quantity standards and metrics, collecting, refining, adapting, and communicating best practices, sharing knowledge, and systematically developing staff; uses process design outcomes to solve problems.

This is a dual‑track base requirement job; education and experience requirements can be satisfied through one of the following two options:

Preferred

• Experience in quantitative analysis, query design, data visualization, statistical analysis, and predictive analytics

Other Requirements

• Proficient in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, machine learning modeling, including multivariate statistical analysis, natural language processing, unsupervised and supervised learning, deep learning, predictive modeling, and model optimization in production)
• Intermediate‑to‑advanced‑l…