*Flexible Work Arrangement: Hybrid*

A (Sr.) Engineer 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.

Essential Functions:

• The primary focus of the work in the Advanced Analytics department:

• Spearhead PJM special studies and large-scale simulations to determine the impact of current/future business rules, industry trends, etc.

• Conduct descriptive analytical efforts such as markets and system operations analyses.

• Lead predictive analytical problem solving using tools such as Machine Learning

• Lead operations research (optimization, mathematical modeling) problems

• Support diagnostic analytical functions to test solution performance

• Collaborate with internal and external business partners to work on challenging problems

• The support functions of this position:

• The primary responsibilities of the role will be to spearhead PJM special studies and large-scale simulations to determine the impact of current/future business rules, industry trends, etc.

• Other role(s) - Support special studies, predictive, diagnostic & operations research

• Other role(s) - Support writing PJM papers, material for PJM board and internal forums & applicable stakeholder efforts

Characteristics & Qualifications:
Required:

• BS Degree in Engineering, Mathematics or equivalent work experience

• At least 4 years of experience experience in qualitative and quantitative analysis

• Ability to produce high-quality work products with attention to detail

• Experience in quantitative and qualitative analysis

• Ability to use mathematical and electrical theory

• Ability to troubleshoot and provide technical support

Preferred:

• MS Degree in Engineering

• PhD. in Economics or Engineering

• At least 5 years of experience Energy industry experience; knowledge in PJM operations, markets, and planning functions would be ideal using statistical tools such as SAS, R, data tools such as SQL, visual analytical tools such as Tableau; using Python for Machine Learning; using production cost tools such as PLEXOS and PROBE; formulating optimization problems in published papers; Adept in strategic/forward thinking; Experience with PJM operations, markets, and planning functions

• Experience with PJM operations, markets, and planning functions

• Experience using PSS/e (power system analysis program)