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# Principal Supervisor Data Science

- **Company:** DTE Energy
- **Location:** Detroit, MI, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), PHP (Programming Language), A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Software Code Optimization, Information Systems, Computer Programming, Data Infrastructure, Data Mining, Data Structures, Data Visualization, R (Programming Language), Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Regression Analysis, Natural Language Processing, Pattern Recognition, SAS (Software), SQL Databases, Supervised Learning, Freeform SQL, Deep Learning, Information Technology, Optimization Algorithms, Data Analytics, Machine Learning Operations
- **Published:** October 3, 2026
- **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/412351369

## About the Role

Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Information Systems, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology, and Econometrics, etc.) or Business Administration, and 7 years of experience working in a data analytical, computer programming, or engineering function, inclusive of two years of experience leading analytical projects; OR
Master's degree in a quantitative field (e.g., Statistics, Computer Science, Information Systems, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology, and Econometrics, etc.) or Business Administration, and 5 years of experience working in a data analytical, computer programming, or engineering function, inclusive of two years of experience leading analytical projects

Other Qualifications

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-level knowledge and skills in data modeling, data structures, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Hadoop, AWS, Azure)
Proficient in programming skills such as SQL, C/C++/C#, Java, R, Python, PHP, or SAS
Ability to develop models in a Big Data cloud environment and deploy models in production
Intermediate-level... For full info follow application link.

## Description

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., 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. Span of control: Leads a team of individual contributors., 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 the following 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.


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