Data Scientist; Transmission & Substation Engineering

Who We Are

We're powering a cleaner, brighter future.

Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.

We're powered by purpose‑driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- 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).

We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.

In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.

Are you in?

The Data Scientist (Transmission & Substation Engineering) at Com Ed will apply the scientific method to extract knowledge and insights from data, which may take the form of time‑series (T&S Equipment for eg circuit breakers, transformers, relays etc.), structured (relational data stores), and unstructured (text and multi‑media) data sets. Train state of the art algorithmic models, including but not limited to tree‑based approaches and neural networks, and implement those models into a production environment following the established machine learning approaches.

Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into analytics‑driven products and inform decision making. This requires understanding business needs, 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.

Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, and high‑performance computing. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and partners. 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 for coverage during storms or other energy delivery emergencies.

• 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 not limited to Python, R, Scala, or equivalent;
  Spark, Hadoop file system and others
• Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans.
• Provide expert data and analytics support to multiple business units
• Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high‑performance computing systems.

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.…