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Sr Data Scientist

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Exelon
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 104000 - 143000 USD Yearly USD 104000.00 143000.00 YEAR
Job Description & How to Apply Below

Sr Data Scientist

Operations

OAKBROOK TERRACE, Illinois

Hybrid

Com Ed

30488

10/15/2026

Who We Are

Exelon is helping build a more affordable, reliable energy future for the communities we serve. We’re looking for people who are ready to make a difference and work together to deliver the energy our customers count on every day.

As a Fortune 200 company and one of the nation's largest utility companies, we have more than 20,000 colleagues who serve nearly 11 million customers through six fully regulated utilities - Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (Com Ed), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).

Exelon is built by people who put safety first, work together to solve problems and show up every day for our customers and communities. We believe strong teams are built on trust, respect and a shared commitment to high-performance culture. And our commitment to employees includes creating an environment where people can grow, develop new skills and build thriving careers.

We know this work isn’t easy. That’s why we offer competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career. No matter your role, you will be part of a team that is committed to making a difference, improving how we work and delivering for the people who depend on us.

Primary Purpose

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. Closely collaborate with various internal stakeholders, information architects, 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 for coverage during storms or other energy delivery emergencies.

Are you on for the challenge?

Primary Duties
  • 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…
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