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DTE Energy · 1 day ago

Principal Data Scientist

Detroit, MI

Full-time

Hybrid

Senior Level, Lead/Staff

4+ years exp

DTE Energy is one of the nation’s largest diversified energy companies, creating a cleaner, healthier environment to power the future. The Principal Data Scientist leads analytics projects, mentors team members, and develops predictive models to support key business decisions while communicating insights to both technical and non-technical stakeholders.

EnergyEnergy EfficiencyIndustrialOil and Gas

H1B Sponsor Likely

Responsibilities

Leads analytics projects and collaborates with cross-functional stakeholders to complete end-to-end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations

Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommend areas of improvement

Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction

Prepares and delivers insightful presentations and actionable recommendations. Educates leaders and other employees on complex analytical findings in basic terms with storytelling and data visualization

Identifies and evaluates technologies and provides strategic inputs to advance the organization's analytics capabilities

Implements new statistical, mathematical, machine learning, or other methodologies for modeling or analyses

Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals

Utilizes business expertise to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms

Champions self-service reporting capability and use of Business Intelligence and statistical tools; advances the analytical capabilities of the organization

Develops data and analytical processes based on Continuous Improvement learnings and practices

Qualification

Data SciencePredictive ModelingStatistical AnalysisData MiningMachine LearningData VisualizationBusiness IntelligenceBig DataContinuous ImprovementCommunication SkillsProblem-Solving SkillsInterpersonal Skills

Required

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 8 years of experience working in a data analytical or computer programming function

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.) and 6 years of experience working in a data analytical or computer programming function

Ph.D. 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 4 years of experience working in a data analytical or computer programming function