Diversified Detroit‑based energy company managing electric, gas utilities and non‑utility energy services.
Lead data science team to develop analytics, AI/ML solutions and guide business decisions.
17 days ago ago
Expert & Leadership (13+ years)
Full Time
Detroit, MI
Hybrid
Company Size
9,500 Employees
Service Specialisms
Energy Delivery
Renewable Energy
Energy Efficiency
Energy Supply
Infrastructure Development
Smart Grid Technology
Sustainability Services
Engineering
Sector Specialisms
Electric Power Generation
Natural Gas
Renewable Natural Gas
Energy Marketing and Trading
Power Projects
Industrial Energy Solutions
Municipal Energy Solutions
Electric Cooperatives
Role
Description
team leadership
predictive modeling
big data
statistical rigor
project execution
process improvement
Oversees 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
Discovers insights from Big Data to help shape or meet specific business needs and goals
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 on-going activities and/or special/ad hoc assignments, staffing (employee selections, training, coaching and performance management, time entry), coordinating, reporting and budgeting
Implements new, industry-leading statistical, mathematical, machine learning or other methodologies for modeling or analyses
Supports scientific, measurable, and fact-driven approaches by adding statistical rigor to business recommendations
Translates business and analytics strategies into multiple short-term and long-term projects, and ensures end-to-end execution of projects
Leads the continuous improvement commitment and efforts for team, including designing processes, establishing quality and quantity standards and metrics, collecting, refining, adapting, and communicating best practices, sharing knowledge, and developing staff in a systematic fashion; uses process design outcomes to solve problems
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
Requirements
sql
python
power bi
machine learning
master's
communication
Intermediate- to advanced-level knowledge and skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Hadoop, AWS, Azure)
Intermediate- to advanced-level skills and experience in articulating business questions, pulling data from relational databases (e.g., SAP Business Warehouse (BW), ORACLE, SQL SERVER) and using advanced excel and statistical tools (e.g., Minitab, Alteryx, Advanced Excel with VBA, R, SAS, SPSS, Stata, MATLAB, etc.), and determining the appropriate analytical approach to conduct in-depth analysis to support decision making
Bachelor’s degree in quantitative field (e.g., Statistics, Computer Science, Information System, 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
Proficient in programming skills such as SQL, C/C++/C#, Java, R, Python, PHP, or SAS
Experience in quantitative analysis, query design, data visualization, statistical analysis, and predictive analytics
Master’s degree in quantitative field (e.g., Statistics, Computer Science, Information System, 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
Adept with multiple business intelligence tools and platforms (e.g., SAP Business Objects, Microsoft Power BI, Microsoft Azure, AI, and machine learning tools)
Ability to develop models in a Big Data cloud environment and deploy models in production
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 level skills and experience with data mining and statistical analysis using analytical packages / tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
Ability to lead analytical data projects across functional teams, including coaching and feedback of other team members on analytic approaches
Excellent communication skills, including ability to interact with and influence decision-making by non-analytical business audiences
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
1903
Year Founded
Merged Detroit Edison and Detroit Gas to establish the company.
12B Revenue
2024 Fiscal Year
Generated $12 billion in revenue, showcasing robust financial performance.
30% Nuclear Power
Michigan's Production
Contributes significantly to Michigan's nuclear energy needs through the Fermi 2 plant.
$30B Investment
Five-Year Plan
Plans a substantial investment to modernize infrastructure and expand renewable energy projects.
Operates one of Michigan’s largest electric utilities, serving customers with a diverse energy mix including coal, nuclear, natural gas, hydro, and renewables.
Runs a major natural gas utility providing to customers, backed by extensive storage wells and pipeline infrastructure.
Beyond utilities, it advances industrial energy solutions, renewable natural gas, energy marketing, and trading through non‑utility segments.
Projects range from grid modernization—like smart reclosers and underground cables—to utility-scale wind, solar parks, and landfill gas‑to‑energy facilities.
Unusual facts: it operates one of the nation’s top coal‑fired stations, Monroe Power Plant.
Culture + Values
Safety – We protect the well-being of our employees, customers, and the environment.
Integrity – We act ethically and transparently in everything we do.
Accountability – We take ownership of our actions and deliver on our commitments.
Innovation – We embrace new ideas to continuously improve our performance.
Collaboration – We work together to achieve shared goals and foster teamwork.
Excellence – We strive for the highest quality in our work and results.
Environment + Sustainability
Net Zero by 2050
Carbon Emissions Goal
Aiming to achieve net zero carbon emissions by 2050, reflecting a long-term commitment to climate action.
80% Reduction
Carbon Reduction Target
Targeting an 80% reduction in carbon emissions by 2040 as an intermediate step toward net zero.
2 Billion Invested
Renewable Energy Investment
Committing $2 billion to renewable energy initiatives by 2024 to accelerate sustainable energy adoption.
50% Energy Capacity
Renewable Energy Generation
Increasing renewable energy generation capacity to 50% of total output by 2030.
Reduced carbon intensity by 38% since 2005.
One of the largest utility-based solar projects in Michigan.
Inclusion & Diversity
50% Goal
Gender Diversity in Leadership
The target is to achieve gender parity in leadership roles by 2030.
30% Representation
Women in Workforce
Currently, women make up 30% of the total workforce, reflecting progress in gender equality.
25% Technical Roles
Women in Technical Positions
25% of employees in technical roles are women, highlighting the importance of diversity in specialized fields.
50% Increase
Diversity in Leadership
There has been a significant improvement in leadership diversity over the past five years.