Data Scientist (PMO Process Integration)
Company: DTE Energy
Location: Detroit
Posted on: October 18, 2024
Job Description:
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Data Scientist (PMO Process Integration) Location: - Detroit, MI,
US Job ID: - 14577 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 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 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 analytical -or 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 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)
- 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., 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 audienceAdditional
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.
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Keywords: DTE Energy, Farmington Hills , Data Scientist (PMO Process Integration), Other , Detroit, Michigan
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