Principal Data Scientist - Pepco Holding
Company: Exelon Corporation
Posted on: January 12, 2022
Job Description - Principal Data Scientist - Pepco Holding
(235641) Job Description Description At Exelon, we've got a place
Join the nation's leading competitive energy provider, with one of
the largest electricity generation portfolios and retail customer
bases in the country. You will be part of a family of companies
that strives for the highest standards of power generation,
competitive energy sales, and energy delivery. Our team of
outstanding professionals is focused on performance, thought
leadership, innovation, and the power of ideas that come from a
diverse and inclusive workforce.
Exelon will provide you the tools and resources you need to design,
build and enhance a successful career. We are also dedicated to
motivating the success of our employees through competitive base
salary, incentives, and health and retirement benefits.
Join Exelon and share your passion at a forward-thinking Fortune
100 company. Establish yourself in a place where you can truly
shine and create a brighter, more sustainable tomorrow. Energize
your career at Exelon!
PRIMARY PURPOSE OF POSITION Apply the scientific method to extract
knowledge and insights from data, which may take the form of
time-series (smart-meters, smart-grid, and other IoT), structured
(relational data stores), and unstructured (text and multi-media)
data sets. Leverage these insights to deploy data-driven
applications in support of strategic business priorities. Possess
an advanced knowledge of predictive modeling techniques, and prior
exposure with high-performance computing technologies. Use your
skills to manage several projects running in parallel. Closely
collaborate with various internal stakeholder and external partners
to understand business needs, by providing and receiving regular
feedback. Use these collaborations to plan, execute, and deploy
analytics-based solutions. Mentor to more junior peers and oversee
their activities where needed. Provide subject matter expertise in
the areas of artificial intelligence, machine learning, feature
engineering, data mining, data manipulation/storage, and
high-performance computing. A successful candidate will quickly
adopt the team's established working processes and toolkit while
growing his/her knowledge of the utilities industry. Position may
be required to work extended hours, including 24 x 7 coverage
during storms or other energy delivery emergencies.
PRIMARY DUTIES AND ACCOUNTABILITIES
- Develop key predictive models that lead to delivering a premier
customer experience, operating performance improvement, and
increased safety best practices. (25%)
- Analyze data using advanced analytics techniques in support of
process improvement efforts using modern analytics frameworks,
including but limited to: Python, R, Scala, or equivalent;
Spark/PySpark; Hadoop file system; GPU-based computing systems
- Access and analyze data sourced from various Company systems of
record. Lead the development of strategic business, marketing, and
program implementation plans. (20%)
- Access and enrich data warehouses across multiple Company
departments. Build, modify, monitor and maintain high-performance
computing systems. (10%)
- Provide expert data and analytics support to multiple business
units. Provide guidance and be a mentor to junior peers. (20%)
- Represent the Company at analytics focused industry forums and
peer group events, bringing back leading practices to evolve the
Company's analytics maturity. (5%)
- Research and experiment on data science technologies, discover
opportunities for new data analytics features, and influence
product and technology strategies of the company.
- Develop algorithms (machine learning, statistical modeling,
optimization) that power data analytics solutions.
- Drive the productization of the algorithms either by writing
high-quality, reusable code modules or advising the engineering
teams on implementing the algorithms.
- Communicate research results effectively in written and spoken
forms to various audiences including product managers, system
engineers, business executives, and customers.
- Become a trusted mentor to peers and collaborators.
- Educate the organization on data science technologies and data
analytics through internal presentations, training workshops, and
- Represent the organization and advocate its data analytics
efforts and capabilities through external conferences and
publication opportunities. Qualifications MINIMUM QUALIFICATIONS
- Education: Bachelor's degree in a Quantitative discipline. Ex:
Applied Mathematics, Computer Science, Finance, Operations
Research, Physics, Statistics, or related field
- Experience: Minimum of 8 years of experience analyzing
multi-terabyte datasets. Minimum of 3 years of experience applying
advanced analytics techniques to diverse data sets data. Minimum of
3 years of experience in data mining in a business environment with
large, complex datasets. Minimum of 2 years of experience in a
supervisory role, including mentoring and guiding junior peers,
responsible to successfully delivering projects on time.
- Analytical Abilities: Demonstratable strong knowledge in the
following areas: machine learning, artificial intelligence,
statistical modeling, data mining, information retrieval, or data
- Technical Knowledge: Proven experience in developing and
deploying predictive analytics projects using one or more leading
languages (Python, R, Scala, etc.). Experience working within an
open source environment and Unix-based OS.
- Communication Skills: Ability to translate data analysis and
findings into coherent conclusions and actionable recommendations
to business partners, practice leaders, and executives. Strong oral
and written communication skills. Experience presenting to diverse
audiences including presenting to conferences and business
- Education: Masters, or PhD from a leading program in a
- Experience: Prior professional experience in the utilities or
broader energy sector. Prior exposure to data structures pertaining
to smart-meters, billing, or outage management systems.
Demonstratable strong knowledge around the full spectrum of data
science lifecycle, including analytics-driven product
- Analytic Abilities: Superior understanding of relevant theories
in machine learning, statistics, probability theory, data
structures and algorithms, optimization, etc.
- Technical Knowledge: Ninja level coding skills (Python, R,
Scala, etc) developing in a Unix environment. Proficiency in
database management: create, edit, update, join, append and query
data from columnar and big data platforms.
- Communication Skills: Ability to clearly translate executive
and analytics leaders' vision and guidance into methods and
analytics. Strong time management and presentation skills.
- Leadership Skills: Experience managing people, and ability to
build consensus, establish trust, communicate effectively and
foster culture change Familiar with Outage Management Systems
(OMS), Asset Suite 8 (AS8), Graphical Interphase Systems (GIS), and
Smart Meter data sets Familiar with Azure Cloud, PowerBI
Dashboards, Microsoft Power Apps, and graphically visualizing of
Exelon is proud to be an equal opportunity employer and employees
or applicants will receive consideration for employment without
regard to: age, color, disability, gender, national origin, race,
religion, sexual orientation, gender identity, protected veteran
status, or any other classification protected by federal, state, or
VEVRAA Federal Contractor
Keywords: Exelon Corporation, Newark , Principal Data Scientist - Pepco Holding, Other , Newark, New Jersey
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