2022 Exelon Hiring Update
Our hiring process looks a bit different today as a result of the COVID-19 pandemic, with 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.

Exelon was recently separated into two publicly traded companies, Exelon and Constellation. Exelon is the parent company for our fully regulated transmission and distribution utilities, delivering electricity and natural gas to more than 10 million customers. Constellation is the largest supplier of clean energy and sustainable solutions to homes, businesses and public-sector customers across the continental U.S., backed by more than 31,000 megawatts of generating capacity consisting of nuclear, wind, solar, natural gas and hydro assets. If you are looking for career opportunities in commercial, generation or home services, please visit jobs.constellationenergy.com for more information.

Sr Data Scientist

Location: BERWYN, PA, United States
Organization: PECO Energy Company
Job ID: 242805
Date Posted: Sep 8, 2022
Job: Customer Service

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Job Description

Description

Be a part of something powerful at America's premier energy provider!

At Exelon, we are united by our values and shared vision for a cleaner and brighter future. We encourage curiosity, value diverse perspectives and we never stop looking for ways to be, work and do better. We know the future is in our hands. That's why we're looking for people like you, who have the power to make a difference.

As the nation's largest utility company, we serve more than 10 million customers through six fully regulated transmission and distribution utilities � Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco). All 18,000 of us are committed to delivering safe, reliable and affordable energy to our customers, strengthening our communities, supporting a clean energy future and reducing our impact on the changing climate.

Our people are the heart and soul of our business. Whether it's powering lives, supporting communities or collaborating with colleagues, an Exelon employee is talented, compassionate, forward-thinking and inspired. We are empowered to evolve and advance our careers in an open and inclusive environment. We pride ourselves on being the kind of place where people want to come and stay. We know that investing in our employees' futures strengthens ours, which is why we offer competitive compensation, incentives and health and retirement benefits.

PRIMARY PURPOSE OF POSITION

Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (PECO Vehicle fleet maintenance data and historical information), structured (relational data stores), and unstructured (text and multi-media) data sets. Closely collaborate with various internal and external stakeholders, customer, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes. 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. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)
  • Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including � but not limited to � Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15%)
  • Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
  • Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
  • Provide expert data and analytics support to multiple business units (20%)
  • Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities. (20%)


JOB SCOPE

  • Support business unit strategic planning while providing a strategic view on machine learning technologies.
  • Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues.
  • Provide key stakeholders with machine learning analyses that best positions the company going forward.
  • Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications.

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: Between 5-8 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
  • Analytical Abilities: Strong knowledge in at least two of 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.


PREFERRED QUALIFICATIONS

  • Education: Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
  • Experience: Working knowledge of data structures pertaining to SQL data. Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
  • Analytic Abilities: Solid understanding of relevant theories, in data structures and algorithms, optimization, etc.
  • Technical Knowledge: Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
  • Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.

 

 

 

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