Principal Supervisor - Data Science

Principal Supervisor - Data Science

Location:

Detroit, MI, US Company: DTE Eng Corp Svcs LLC

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:

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.

• 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

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

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

Proficient in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, machine learning modeling, including multivariate statistical…