Data Scientist - Digital Factory

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Data Scientist , you will play a key role in the DTE Digital Factory, responsible for translating business requirements into analytical constructs and using data to propose solutions for effective decision making. This individual will collect, validate, transform, and cleanse data, as well as perform quantitative analysis to derive insights. The Data Scientist runs analytical experiments in a methodical manner and regularly evaluates alternative models and techniques. Develops predictive models to forecast business performance metrics and provides recommendations for strategic decisions. Responsible for teaching others the tools, techniques and best practices in self-service reporting, data analysis and predictive analytics.

Key Accountabilities

• Performs in-depth analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) to help the company focus on key decisions to improve safety, employee engagement, operational efficiency, product quality, and customer satisfaction
• Develops, modifies, and automates reports, builds and prototypes dashboards to provide insights, and provides analytical solutions
• Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals.
• Develops and maintains analytical models through understanding data, evaluating technologies, optimizing algorithms, experimenting and validating models
• Delivers effective presentations that tell compelling stories about analytical insights
• Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes
• Implements new statistical, mathematical, machine learning or other methodologies for modeling or analysis
• Utilizes business knowledge to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms
• Trains and enables self-service reporting capability and use of Business Intelligence tools for supported business unit(s)
• Conducts research to identify relevant data for developing prototypes and proof-of-concepts
• Collaborates with cross-functional stakeholders to understand business needs, formulate complete end-to-end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations

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:

• 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 3 years of experience working in a data analytical or computer programming function; OR
• 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 1 year of experience working in a data analytical or computer programming function

Other Qualifications

Preferred:

• Master’s or PhD degree in Data Science
• Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques, and model optimization)
• Knowledge and intermediate-level skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including Big Data platform (e.g., Hadoop, AWS, Azure)
• Familiarity with Cloud environments
• Experience with SAP Business Intelligence tools and SAP CRM, ISU, and BW data
• Familiarity with Continuous Improvement concepts and applications (e.g., six sigma, lan)

???????Other Requirements:

• Intermediate-level experience with data mining and statistical analysis using analytical packages/tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
• Intermediate-level experience in 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, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making
• Intermediate-level proficiency in business intelligence tools (e.g., Microsoft PowerBI, Tableau, SAP, Business Objects (BOBJ), etc.)
• Intermediate-level programming skills in SQL, C/C++/C#, PHP, Java, Python, R, ASP, or SAS
• Understanding of applied research design and machine learning (e.g. multivariate statistical analysis, unsupervised and supervised learning, predictive modeling)
• Self-starter and quick learner; advances self and others' knowledge and skill sets in business processes, data science, new analytical frameworks, technologies, and applications
• Interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience

What We Offer

• Compensation: We offer a competitive compensation package where you’ll be rewarded and recognized for the value you bring to our business. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level (LTIP), and individual performance.
• Benefits Overview: The goal of the DTE total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits, in addition to many others:
• Paid time off including vacation days, holidays (11), and parental leave for mothers, fathers and adoptive parents.
• Healthcare coverage beginning day one (health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family.
• Company and matching contributions to 401K savings plan to help you save for retirement.
• Recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values.
• Tuition Assistance Program.