Data Scientist (PMO Process Integration)

DTE Energy - Detroit, MI

Full-time - Mid Level

Detroit, MI

Utilities

About the position

The Data Scientist (PMO Process Integration) at DTE Energy is responsible for translating business requirements into analytical constructs and utilizing data to propose solutions for effective decision-making. This role involves collecting, validating, transforming, and cleansing data, performing quantitative analysis, and developing predictive models to forecast business performance metrics. The position also includes teaching others best practices in self-service reporting and data analysis, while collaborating with cross-functional stakeholders to meet business needs.

Responsibilities

• Translate business requirements into analytical constructs and propose data-driven solutions.
• Collect, validate, transform, and cleanse data for analysis.
• Perform quantitative analysis to derive insights and support decision-making.
• Run analytical experiments and evaluate alternative models and techniques.
• Develop predictive models to forecast business performance metrics.
• Teach tools, techniques, and best practices in self-service reporting and predictive analytics.
• Conduct in-depth analyses to support key business decisions.
• Develop, modify, and automate reports and dashboards for insights.
• Discover insights from Big Data to meet specific business needs.
• Deliver effective presentations that communicate analytical insights.

Requirements

• Bachelor's degree in a quantitative field and 3 years of experience in data analytics or programming, or a Master's degree with 1 year of experience.
• Intermediate-level experience with data mining and statistical analysis using tools like R, SAS, SPSS, and MATLAB.
• Proficiency in SQL and programming languages such as Python, C++, and Java.
• Experience with business intelligence tools like Power BI and Tableau.
• Strong written and verbal communication skills.

Nice-to-haves

• Master's or PhD degree in Data Science.
• Experience in quantitative analytics including regression analysis and predictive modeling techniques.
• Familiarity with Cloud environments and Big Data platforms like Hadoop and AWS.
• Knowledge of SAP Business Intelligence tools and CRM systems.
• Experience in the utility or energy industry.

Benefits

• Health insurance
• 401k retirement plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities