DTE Energy

1 week ago

Principal Supervisor - Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead a team of analysts and data scientists to develop analytics strategies, define performance metrics, and recommend BI, AI, and machine learning solutions. Translate business goals into end-to-end projects, apply statistical rigor, and implement advanced modeling methodologies. Discover insights from big data to shape business outcomes, advise leadership with data-driven recommendations, and drive continuous improvement across processes, standards, and staff development.

Location: Detroit

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead a team of analysts and data scientists in applying data science methods to identify opportunities and predict outcomes.
•Translate business and analytics strategies into short- and long-term projects and ensure end-to-end execution.
•Add statistical rigor to recommendations and ensure measurable, fact-driven approaches.
•Implement industry-leading statistical/mathematical and machine learning methodologies for modeling and analysis.
•Oversee supervisory functions (planning, organizing, directing work, staffing, coordinating, reporting, and budgeting) and drive continuous improvement for the team.

Key Requirements

•Bachelor’s degree in a quantitative field (or business administration) plus 7 years’ experience in data analytical, computer programming, or engineering functions, including 2 years leading analytical projects; OR Master’s degree plus 5 years with 2 years leading analytical projects.
•Proficiency in quantitative analytics including regression, hypothesis testing, A/B testing, machine learning modeling, natural language processing, and predictive modeling.
•Intermediate-to-advanced knowledge of data modeling and data structures, including complex SQL queries and big data platforms (e.g., Hadoop, AWS, Azure).
•Programming proficiency in SQL and one or more of: C/C++/C#, Java, R, Python, PHP, or SAS; able to develop and deploy models in a big data cloud environment.
•Intermediate-to-advanced experience with data mining and statistical tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab) and business intelligence platforms (e.g., SAP Business Objects, Power BI).

Experience:5-7 yearsData analyticsMachine learningArtificial intelligenceBig dataBusiness intelligence

Skills:CommunicationLeadershipCoachingContinuous improvementData-driven decision-making

Tech Stack:SQLC++C#CJavaRPythonPHPSASHadoopAWSAzureBig DataSAP Business Warehouse (BW)OracleSQL ServerExcelVBASPSSStata

Company Brief

DTE Energy

DTE Energy is a diversified energy company that generates, transmits, and distributes electricity and natural gas to customers in Michigan. It also invests in renewable energy and energy infrastructure services.

Industry: Utilities

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Detroit, United States

Founded: 1995

Website LinkedIn

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DTE Energy

1 week ago

Principal Supervisor - Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Detroit

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead a team of analysts and data scientists in applying data science methods to identify opportunities and predict outcomes.
•Translate business and analytics strategies into short- and long-term projects and ensure end-to-end execution.
•Add statistical rigor to recommendations and ensure measurable, fact-driven approaches.
•Implement industry-leading statistical/mathematical and machine learning methodologies for modeling and analysis.
•Oversee supervisory functions (planning, organizing, directing work, staffing, coordinating, reporting, and budgeting) and drive continuous improvement for the team.

Key Requirements

•Bachelor’s degree in a quantitative field (or business administration) plus 7 years’ experience in data analytical, computer programming, or engineering functions, including 2 years leading analytical projects; OR Master’s degree plus 5 years with 2 years leading analytical projects.
•Proficiency in quantitative analytics including regression, hypothesis testing, A/B testing, machine learning modeling, natural language processing, and predictive modeling.
•Intermediate-to-advanced knowledge of data modeling and data structures, including complex SQL queries and big data platforms (e.g., Hadoop, AWS, Azure).
•Programming proficiency in SQL and one or more of: C/C++/C#, Java, R, Python, PHP, or SAS; able to develop and deploy models in a big data cloud environment.
•Intermediate-to-advanced experience with data mining and statistical tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab) and business intelligence platforms (e.g., SAP Business Objects, Power BI).

Experience:5-7 yearsData analyticsMachine learningArtificial intelligenceBig dataBusiness intelligence

Skills:CommunicationLeadershipCoachingContinuous improvementData-driven decision-making

Tech Stack:SQLC++C#CJavaRPythonPHPSASHadoopAWSAzureBig DataSAP Business Warehouse (BW)OracleSQL ServerExcelVBASPSSStata

Company Brief

DTE Energy

Industry: Utilities

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Detroit, United States

Founded: 1995

Website LinkedIn