A Data Scientist in Advanced Analytics is responsible for providing qualitative and quantitative analytical capabilities to assure the reliable, economic, and coordinated operation of the PJM Interconnection in accordance with PJM Operating Principles and Standards and applicable Regional and NERC Operating Policies.
Because of COVID-19 this position will be temporarily working from home until a return to campus plan is finalized.
The primary focus of the work in the Advanced Analytics department:
Perform PJM special studies to determine the impact of current/future business rules, industry trends, etc.
Develop key performance indicators to trend market, operations and planning business performance/challenges
Analyze big data sets to answer research questions through analytical techniques such as Machine Learning
Produce PJM's response to IMM's State of the Market recommendations
Collaborate with internal and external business partners to work on challenging problems
The support functions of this position:
Support analytics: statistics, operational research, machine learning, econometric modeling, etc.
Support PJM Market Design process and evolution: data-driven, simulation based, etc. design and evolution
Support operational research problems: optimization, mathematical modeling, etc.
Support applicable PJM stakeholder process discussions
Support writing PJM papers, develop material for PJM board and internal forums
BS degree in Economics, Mathematics, Engineering, Data Science or equivalent work experience
Ability to produce high-quality work products with attention to detail
Ability to visualize and solve complex problems
Experience using verbal and written communications skills
Ability to work in a team environment as a team member or as team leader
MBA degree in Business Administration, MS degree in Economics, PhD. in Economics, Mathematics or Data Science
At least 4 years of experience Solving Energy Industry challenges utilizing basic and advanced analytical methods such as statistics, simulations, econometric models, machine learning algorithms, optimization formulations, etc.
Experience with PJM operations, markets, and planning functions