Associate Data Scientist (PMO Process Integration)

DTE Energy - Detroit, MI

Full-time - Entry Level

Detroit, MI

Utilities

About the position

The Associate Data Scientist (PMO Process Integration) at DTE Energy is responsible for collecting, validating, transforming, and cleansing data to derive insights through qualitative and quantitative statistical analysis and modeling. This role involves developing moderately complex models to forecast business performance metrics, collaborating with team members and business partners to translate business requirements into analytical constructs, and creating customized reports and dashboards to support decision-making processes.

Responsibilities

• Collects, validates, transforms, and cleanses data to derive insights using statistical analysis and modeling.
• Runs analytical experiments and develops models to forecast business performance metrics.
• Identifies, defines, and translates business requirements into analytical constructs.
• Develops customized reports and dashboards and performs ad-hoc analyses.
• Performs various analyses (e.g., cost-benefit, forecasting, predictive) to support key business decisions.
• Develops, modifies, and automates reports and dashboards to meet analytical needs.
• Maintains analytical algorithms and models using structured and unstructured data.
• Evaluates technologies and optimizes algorithms and experiments.
• Interprets and communicates analytic insights to stakeholders.
• Cleanses and blends data to produce analytic datasets for downstream purposes.
• Documents business needs and formulates end-to-end analyses.

Requirements

• Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering) and one year of experience in data analytics or programming; OR a Master's degree in a quantitative field.
• Experience in quantitative analytics, including data mining and regression analysis.
• Familiarity with Continuous Improvement concepts (e.g., Six Sigma, Lean).
• Experience with SAP Business Intelligence Tools and SAP CRM.
• Knowledge of data modeling, data structures, and complex SQL queries.
• Basic to intermediate programming skills in SQL, C/C++/C#, Java, Python, R, PHP, ASP, or SAS.
• Experience with business intelligence tools (e.g., Microsoft PowerBI, Tableau).
• Strong written, verbal, and interpersonal communication skills.

Nice-to-haves

• Master's degree in Data Science.
• Experience articulating business questions and pulling data from relational databases.
• Familiarity with Big Data platforms (Hadoop, AWS, Azure).
• Experience in the utility or customer-oriented industry.

Benefits

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