An Important Message about Exelon Recruitment during COVID-19

We hope that you and your loved ones are managing through this challenging and uncertain time. The COVID-19 pandemic has demanded unprecedented changes to our daily lives. That said, what hasn’t changed for us is the vital work we do, and our commitment to ensuring the safety of our candidates, employees, customers, and communities. While our hiring process looks a bit different today, with 100 percent virtual interviewing and other solutions in place to facilitate proper social distancing, we remain focused on powering possibilities for new talent who are ready to join us in making a difference. As always, you can find our available opportunities here. We truly appreciate your continued interest in opportunities with Exelon and our family of companies.

Principal Data Scientist (EU Grid T&D Analytics Team)

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Location: PHILADELPHIA, PA, United States
Organization: Exelon Business Servcs Co, LLC
Job ID: 231468
Date Posted: Jun 17, 2021

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Job Description

Description

At Exelon, we've got a place for you!

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!

The base location is flexible among primary Exelon Utilities locations including Chicago, IL, Oakbrook Terrace, IL, Philadelphia, PA, Baltimore, MD, New Castle, DE or Washington, DC. Telecommuting option may also be available
 

Special Posting Notes – Principal Data Scientist

This position is in Exelon Utilities’ Grid Analytics unit and will play a crucial role in providing analytics coverage for Tech Services, Transmission & Substation, Operations and Safety organizations across our six utilities. This position is responsible for enabling Exelon Utilities to be a data driven organization to leverage smart grid and customer data to generate actionable intelligence, improve decision making, drive innovation, and unlock new business insights.

Examples of use case areas include leveraging satellite, LiDAR and drone data for asset health detection and optimizing vegetation management, leveraging safety performance and fleet telematics to improve safety for our employees, using our Data Analytics Platform, which includes data from outages, GIS, smart meters, work, crew and asset management systems, customer and financial systems to develop Grid Planning and Operational Analytics to optimize capital investments that enhance reliability and resilience.

The ideal candidate will have a PhD (quantitative discipline) with strong hands-on data science experience solving customer or engineering problems using predictive modeling, machine learning and artificial intelligence on large complex data sets. This position requires a leader with strong ninja coding skills, and extensive experience with machine learning, deep learning, and high-performance computing. Grid T&D experience is a strong plus.


PRIMARY PURPOSE OF POSITION

This position is responsible for enabling Exelon Utilities to extract knowledge and insights from smart grid and customer data to generate actionable intelligence, improve decision making, drive innovation, and unlock new business insights. Specifically, this data will include time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data.

Closely collaborate with various internal stakeholders, data engineers, project/program managers, external partners, and other teams to turn data into critical information to inform decision making and deploy data-driven analytics-based solutions. This requires understanding business needs and strategic priorities, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders.

Build high-quality prediction systems that solve our customer’s business problems by applying data mining, machine learning, deep learning, and high-performance computing. Perform statistical analysis, exploring, interpreting, and analyzing datasets for patterns of interest. Demonstrate commitment to continuous learning and professional development, share knowledge with team members, and business stakeholders, and IT partners. Use your skills to manage several projects running in parallel, mentor junior peers and oversee their activities where needed.

Model business problems to machine learning ones, mapping business data to dependent and independent features, doing feature engineering, iterating with different predictive models, conducting hyper parameter optimization to yield highest prediction accuracy, and deploying the model to production.

Help build data science and machine learning capabilities: develop best practices and patterns for machine learning, develop reusable technical components for demos and POCs. Keep up to date with latest technology trends and quickly learn about new frameworks/techniques to be used in projects delivery. 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.
  • 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.
  • Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.
  • Provide expert data and analytics support to multiple business units. Provide guidance and be a mentor to junior peers.
  • Represent the Company at analytics focused industry forums and peer group events, bringing back leading practices to evolve the Company’s analytics maturity.


POSITION SCOPE

 

  • 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 publications.
  • 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 visualization.

 


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 symposia.

 


PREFERRED QUALIFICATIONS

 

Education:

Masters, or PhD from a leading program in a Quantitative discipline.

 


Experience:

  • Prior professional experience in the utilities or broader energy sector.
  • Prior exposure to data structures pertaining to smart-meters, historical and forecasted weather, asset alerts and alarms, time-series, billing, and outage management systems .
  • Demonstratable strong knowledge around the full spectrum of data science lifecycle, including analytics-driven product delivery.

 

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
 

 

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 local law.

VEVRAA Federal Contractor

EEO is the Law Poster

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