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, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- 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).
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?
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. Train state of the art algorithmical models, including but not limited to tree-based approaches and neural networks, and implement those models into a production environment following the established MLOps 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 using PowerBI. 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 IT 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.
PRIMARY DUTIES AND ACCOUNTABILITIES
Support business unit strategic planning while providing a strategic view on advanced analytics technologies. Advice and counsel key stakeholders on analytics 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.