Associate Data Scientist (PMO Process Integration)

DTE Energy - Detroit, MI

Full-time - Entry Level

Detroit, MI

5,001-10,000 employees

Utilities

About the position

The Associate Data Scientist role at DTE Eng Corp Svcs LLC focuses on collecting, validating, transforming, and cleansing data to derive insights through qualitative and quantitative statistical analysis and modeling. The position involves developing moderately complex models to forecast business performance metrics and collaborating with team members and business partners to translate business requirements into analytical constructs. The role also includes creating customized reports and dashboards, performing ad-hoc analyses, and supporting the company's decision-making processes to improve various operational metrics.

Responsibilities

• Perform analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis) to help the company focus on key decisions.
• Develop, modify, and automate reports; iteratively build and prototype dashboards to provide insights.
• Develop and maintain analytical algorithms and models using large sets of structured, semi-structured, and unstructured data.
• Evaluate technologies, develop and optimize algorithms, and validate modeling results.
• Interpret, document, and communicate analytic insights to stakeholders.
• Perform data cleansing and blending processes to produce analytic data sets for various downstream purposes.
• Understand and document business needs to formulate complete end-to-end analyses, including business requirements and presentations.
• Collaborate with team members and business leaders to identify relevant data and develop prototypes.

Requirements

• Bachelor's degree with emphasis on coursework of a quantitative nature and one year of experience in a data analytical or computer programming function; OR a Master's degree with emphasis on coursework of a quantitative nature.
• Experience in quantitative analytics such as data mining, regression analysis, hypothesis testing, and predictive modeling techniques.
• Basic to intermediate programming skills in SQL, C/C++/C#, Java, Python, R, PHP, ASP, or SAS.

Nice-to-haves

• Master's degree in Data Science.
• 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, and application of complex SQL queries.
• Experience in business intelligence tools (Microsoft PowerBI, Tableau, SAP Business Objects).
• Familiarity with a Big Data platform (Hadoop, AWS, Azure).
• Strong written, verbal, and interpersonal communication skills.

Benefits

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