Data Scientist (PMO - Planning & Coordination Strategy 1 )
Company: DTE Energy
Location: Detroit
Posted on: October 20, 2024
Job Description:
DTE is one of the nation's largest diversified energy companies.
Our electric and gas companies have fueled our customer's homes and
Michigan's progress for more than a century.And as Michigan's
largest source of renewable energy, we're creating a cleaner,
healthier environment to power our future. We're also serving
communities beyond Michigan, where our affiliated businesses offer
renewable energy, emission control technologies, and energy
services to industries in 19 states.
But we're more than a leading energy company... and working at DTE
is more than just a job.At DTE, we take great care of each other
and our customers, and we use our energy to be a force for growth
and prosperity in our communities. When you join us, you'll be part
of a team that welcomes, recognizes, and celebrates differences and
values everyone's health, safety, and wellbeing. Are you ready to
make that kind of difference? Bring your energy to DTE.Together, we
can achieve great things.
Testing Required: Not ApplicableHybrid Role: Must be able to come
on-site periodically and reside a commutable distance from the
assigned work location.Emergency Response: Yes - 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.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.
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.
Keywords: DTE Energy, Southfield , Data Scientist (PMO - Planning & Coordination Strategy 1 ), Other , Detroit, Michigan
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