Data Scientist (PMO - Planning & Coordination Strategy 1 )
Company: DTE Energy
Location: Detroit
Posted on: October 16, 2024
Job Description:
Job SummaryResponsible for translating business requirements
into analytical constructs and using data to propose solutions for
effective decision making. Collects, validates, transforms, and
cleanses data, as well as performs quantitative analysis to derive
insights. 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 datacleansing and blendingprocesses to produce
analytic data sets for use by a variety of downstream purposes
- Implements new statistical, mathematical, machine learningor
other methodologies formodeling 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 datafor 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 presentationsMinimum Education & Experience
RequirementsThis 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 analyticalor computer programming functionOther
QualificationsPreferred:
- 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 skillsin data modeling, data
structure, and the application of complex SQL queries with data
from multiple sources, includingBig 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)
- Strong written and verbal communication skills
- Utility/energy or customer-oriented industry experience
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., MicrosoftPowerBI, Tableau, SAP, Business Objects
(BOBJ),etc.)
- Intermediate-level programming skillsin 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 inbusiness 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
- Materials planning and forecasting experience
- Workforce planning and forecasting experience
- Databricks SQL experience
- Power BI developer experienceAdditional InformationIncumbents
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.
Keywords: DTE Energy, Farmington Hills , Data Scientist (PMO - Planning & Coordination Strategy 1 ), Other , Detroit, Michigan
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