Senior Data Scientist - Hamtramck, United States - DTE Energy

Description

** Senior Data Scientist (Customer Service)**

Location: Detroit, MI, US

Company: DTE Eng Corp Svcs LLC Job ID: 8965 DTE is one of the nations largest diversified energy companies. Our electric and gas companies have fueled our customers homes and Michigans progress for more than a century. And as Michigans largest source of renewable energy, were creating a cleaner, healthier environment to power our future. Were also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.

**Testing Required:** Not Applicable

**Emergency Response:** Yes Must be available to perform a primary assignment in support of DTEs emergency response to storms or other events that impact service to our customers.

**IND123**

**Job Summary**

Leads large business unit or enterprise-level analytics projects with broad responsibilities for translating business requirements into analytical constructs and providing analytical insights for effective decision making. Mentors less experienced team members to run analytical experiments in a methodical manner, evaluates alternative approaches and develops predictive models to forecast business performance metrics. Communicates effectively to technical and non-technical stakeholders with strong domain expertise and business acumen. Additionally, this role requires researching and recommending new technologies and best practices within the industry to develop the organizations analytics strategies and roadmap.

**Key Accountabilities**

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 organizations 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

**Minimum Education & Experience Requirements**

This is a dual-track base requirement job; education and experience requirements can be satisfied through one of the following two options:

Bachelors 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 7 years of experience working in a data analytical or computer programming function; or

Masters 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 5 years of experience working in a data analytical or computer programming function

**Other Qualifications**

Preferred:

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 SQL 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

Other Requirements:

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, SQL 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 SQL, 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

**Additional Information**

Incumbents may engage in all or some combination of the activities and accountabilities, and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.

*At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by law.*

**Nearest Major Market:** Detroit