Associate Data Scientist

DTE Energy • Detroit, MI

3d • Hybrid

About The Position

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.Job SummaryCollects, validates, transforms and cleanses data to derive insights using qualitative and quantitative statistical analysis and modeling. Runs analytical experiments in a methodical manner and develops moderately complex models to forecast business performance metrics. Works with other team members and/or business partners to identify, define and translate business requirements into analytical constructs. Develops customized reports and dashboards and performs ad-hoc analyses.

Requirements

• 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 one year 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.)

Nice To Haves

• Master’s degree in Data Science
• Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques and model optimization)
• Familiarity with Continuous Improvement concepts and applications (e.g., six sigma, lean)
• Experience with SAP Business Intelligence Tools and SAP CRM, ISU and BW data
• Knowledgeable in data modeling, data structure, meta data and application of complex SQL queries with data from multiple sources
• Basic to intermediate level programming skills in SQL, C/C++/C#, Java, Python, R, PHP, ASP, or SAS
• Experience in business intelligence tools (Microsoft PowerBI, Tableau, SAP Business Objects (BOB), etc.)
• 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, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making
• Familiarity with a Big Data platform (Hadoop, AWS, Azure), including data extraction and connection to the platform for analytics
• Familiarity with Cloud environments
• Strong written, verbal, and interpersonal communication skills
• Utility or customer-oriented industry experience

Responsibilities

• Performs 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, operation efficiency, product quality, and customer satisfaction
• Develops, modifies, and automates reports; iteratively builds and prototypes dashboards to provide insights and meet analytical needs
• Develops and maintains analytical algorithms and models through understanding large sets of structured, semi-structured and unstructured data.
• Evaluates technologies, develops and optimizes algorithms and experiments and validates modeling results 
• Interprets, documents, and successfully communicates analytic insights to stakeholders
• Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes
• Understands and documents business needs to formulate complete end-to-end analyses that include business requirements, data gathering, analysis, scaleable solutions, and presentations
• Works with other team members and business leaders to identify relevant data and develop prototypes and proof-of-concepts

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level