Principal Data Scientist

DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century. And as Michigan’s largest source of renewable energy, we’re creating a cleaner, healthier environment to power our future. We’re also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.

But we’re more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you’ll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing.

Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.

Testing

Required:

Not Applicable

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 large business unit or enterprise‑level analytics projects with broad responsibilities for translating business requirements into analytical constructs and providing analytical insights for effective decision making. Mentors less experienced team members to run analytical experiments in a methodical manner, evaluates alternative approaches and develops predictive models to forecast business performance metrics. Communicates effectively to technical and non‑technical stakeholders with strong domain expertise and business acumen.

Additionally, this role requires researching and recommending new technologies and best practices within the industry to develop the organization’s analytics strategies and roadmap.

• Leads analytics projects and collaborates with cross‑functional stakeholders to complete end‑to‑end analyses that include business requirements, data gathering, analysis, scaleable solutions, and presentations
• Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommends areas of improvement
• Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction
• Prepares and delivers insightful presentations and actionable recommendations. Educates leaders and other employees on complex analytical findings in basic terms with storytelling and data visualization
• Identifies and evaluates technologies and provides strategic inputs to advance the organization’s analytics capabilities
• Implements new statistical, mathematical, machine learning, or other methodologies for modeling or analyses
• Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals
• Utilizes business expertise to translate goals into data‑based deliverables, such as predictive models, pattern detection analysis or optimization algorithms
• Champions self‑service reporting capability and use of Business Intelligence and statistical tools; advances the analytical capabilities of the organization
• Develops data and analytical processes based on Continuous Improvement learnings and practices

• Bachelor’s degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) and 8 years of experience working in a data analytical or computer programming function
• Master’s degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering,…