Share this Job

Senior Data Scientist


Detroit, MI, US

Company:  DTE Eng Corp Svcs LLC
Job ID:  6498

The future is bright at DTE Energy! We are one of the largest Fortune 500 diversified utilities in the United States with an aspiration to be the best operated energy company in North America and a force for good in the communities we live and serve.  We have businesses in 26 different states and are comprised of regulated utility and non-utility businesses.  Our utility business provides electric and gas service to approximately 3 million customers.  Our non-utility businesses include a diversified portfolio of energy-related companies, ranging from gas storage and pipelines to renewable power development.

DTE Energy’s utility and non-utility businesses are poised for significant growth. We look forward to working with highly motivated and team-oriented individuals to energize our efforts of growing economically and environmentally.

Recently, DTE Energy has been recognized as an outstanding place to work and has received the following accolades:

* Gallup Great Workplace Award for consecutive years
* Civic 50 Award for corporate citizenship excellence
* Indeed’s annual “50 Best Places to Work” award for two years running
* Metropolitan Detroit’s 101 Best and Brightest Companies to work For
* J.D. Power Customer Satisfaction Award
* Professional Women’s Magazine/Black EOE Journal “Best of the Best”
* Computerworld’s 100 Best Places to Work in IT
* Best Employers for a Healthy Lifestyle Gold Award
* Detroit Free Press Green Leaders Award

DTE Energy is an equal opportunity employer and considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by law.

Testing Required: Not Applicable




Job Summary

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.


Key Accountabilities

  • Leads analytics projects and collaborates with cross-functional stakeholders to complete end-to-end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations
  • Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommend 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

Minimum Education & Experience Requirements

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 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 7 years of experience working in a data analytical or computer programming function; or


  • Master’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 5 years of experience working in a data analytical or computer programming function

Other Qualifications


  • PhD degree in Data Science
  • Experience in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, predictive modeling and model optimization)
  • 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 Big Data platforms (e.g., Hadoop, AWS, Azure)
  • Experience with SAP Business Intelligence tools and SAP CRM, ISU, and BW data
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
  • Strong writter and verbal communication skills
  • Strong business acumen and utility/energy industry experience


Other Requirements:

  • Intermediate- to advanced-level skills and experience with data mining and statistical analysis using analytical packages / tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
  • Intermediate- to advanced-level skills and experience articulating business questions, pulling data from relational databases (e.g., SAP 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
  • Intermediate- to advanced-level programming skills in SQL, C/C++/C#, Java, R, Python, PHP, ASP, or SAS
  • Intermediate- to advanced-level skills in applied research design and machine learning (e.g., multivariate statistical analysis, unsupervised and supervised learning, predictive modeling, etc.)
  • Self-starter and quick learner; advances self and others' knowledge and skill sets in business processes, data science, new analytical frameworks, technologies, and applications
  • Strong interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience

Additional Information

Incumbents may engage in all or some combination of the activities and accountabilities, and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.

Nearest Major Market: Detroit