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: Must be able to come on-site periodically and reside a commutable distance from the assigned work location.

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.

Job Summary

Responsible for translating business requirements into analytical constructs and using data to propose solutions for effective decision making. Collects, validates, transforms, and cleanses data, as well as performs quantitative analysis to derive insights. Runs analytical experiments in a methodical manner and regularly evaluates alternative models and techniques.  Develops predictive models to forecast business performance metrics and provides recommendations for strategic decisions. Responsible for teaching others the tools, techniques and best practices in self-service reporting, data analysis and predictive analytics.    

Key Accountabilities

• Performs in-depth analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) to help the company focus on key decisions to improve safety, employee engagement, operational efficiency, product quality, and customer satisfaction
• Develops, modifies, and automates reports, builds and prototypes dashboards to provide insights, and provides analytical solutions
• Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals.
• Develops and maintains analytical models through understanding data, evaluating technologies, optimizing algorithms, experimenting and validating models 
• Delivers effective presentations that tell compelling stories about analytical insights
• Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes
• Implements new statistical, mathematical, machine learning or other methodologies for modeling or analysis
• Utilizes business knowledge to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms
• Trains and enables self-service reporting capability and use of Business Intelligence tools for supported business unit(s)
• Conducts research to identify relevant data for developing prototypes and proof-of-concepts
• Collaborates with cross-functional stakeholders to understand business needs, formulate complete end-to-end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations

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 3 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 1 year of experience working in a data analytical or computer programming function

Other Qualifications

Preferred:

• Master’s or PhD degree in Data Science
• Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques, and model optimization)
• Knowledge and intermediate-level skills in data modeling, data structure, and the appl