Principal Data Scientist
DTE Energy
full-time
Posted on:
Location Type: Hybrid
Location: Detroit • Missouri • United States
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Job Level
About the role
- 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
Requirements
- 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
- PhD degree in Data Science
- Experience in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, predictive modeling and model optimization)
- Intermediate- to advanced-level knowledge and skills in data modeling, data structure, and the application of complex SOL queries with data from multiple sources, including Big Data platforms (e.g., Hadoop, AWS, Azure)
- Experience with SAP Business Intelligence tools and SAP CRM, ISU, and BW data
- Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
- Strong writter and verbal communication skills
- Strong business acumen and utility/energy industry experience
- Intermediate- to advanced-level skills and experience with data mining and statistical analysis using analytical packages/ tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
- Intermediate- to advanced-level skills and experience articulating business questions, pulling data from relational databases (e.g., SAP BW, ORACLE, SOL SERVER) and using advanced excel and statistical tools (e.g., Minitab, Alteryx, Advanced Excel with VBA, R, SAS, SPSS, Stata, MATLAB, etc.) and determining the appropriate analytical approach to conduct in-depth analysis to support decision making
- Intermediate- to advanced-level programming skills in SOL, C/C++/C#, Java, R, Python, PHP, ASP, or SAS
- Intermediate- to advanced-level skills in applied research design and machine learning (e.g., multivariate statistical analysis, unsupervised and supervised learning, predictive modeling, etc.)
- Self-starter and quick learner; advances self and others' knowledge and skill sets in business processes, data science, new analytical frameworks, technologies, and applications
- Strong interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience
Benefits
- Must be available to perform a primary assignment in support of DTE’s emergency response to storms or other events that impact service to our customers.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical analysispredictive modelingdata miningregression analysishypothesis testingdata modelingmachine learningdata structureprogramming in Rprogramming in Python
Soft skills
strong written communicationstrong verbal communicationbusiness acumeninterpersonal skillsanalytical skillsproblem-solving skillsstorytellingself-starterquick learnereducational skills
Certifications
Continuous Improvement certifications