Data Scientist

Overview

Analyze electric asset data to drive reliability using AWS, Python, and SSIS.

Key Responsibilities

• data analysis
• insight delivery
• data pipelines
• statistical modeling
• analytics solutions
• tech adoption

Tasks

-Deliver insights that contribute to electric system reliability improvements by analyzing operational and non-operational data. -Effectively communicate results and insights to subject matter experts and cross-functional teams. -Interpreting the data to discover solutions, identify opportunities and support decision making. -Transform data to uncover patterns, develop trends, and define analytics solutions that support decisions related to asset design, maintenance, and replacement strategies. -Collect, summarize, and analyze various operational, non-operational data for electric inside and outside plant. -Identify valuable data sources and optimize data pipelines to ensure data quality, integrity, and security. -Apply statistical analysis and data mining techniques to validate assumptions and build scenarios. -Support business adoption of technology solutions.

Requirements

• sql/ssis
• python
• aws
• powerbi
• osi pi
• bachelor's

What You Bring

-2-5 years' experience (can apply to school projects/assignments) using query languages (SQL) and developing and maintaining ETL workflows using SQL Server Integration Services (SSIS). -2-5 years' experience (can apply to school projects/assignments) in Python coding. -2-5 years' experience (can apply to school projects/assignments) leveraging AWS services to deploy scalable data pipelines and analytics solutions. -Results oriented, data driven, and self-starter. -Bachelor’s degree in Data Science, Engineering, Computer Science, Information Technology, Information Systems, or related field. -Experience in web development and SharePoint. -2-5 years' knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms. -Experience with visualization tools like PowerBI/Tableau. -Must be detailed oriented and have experience working with large data sets. -Some knowledge of electric/gas transmission and distribution systems. -Knowledge of OSI PI products (OSI PI Architecture, PI AF hierarchy and analytics) -Excellent verbal and written communication skills; able to communicate highly technical concepts in a clear, succinct, and relevant way to non-technical stakeholders. -Advanced degree, e.g., Master’s Degree in Data Science, Data Analytics, Computer Science, Information Technology, etc. -Department of Energy’s regulation 10 CFR 810 is required.

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Benefits

-Hybrid fixed – roles that are a mix of remote work and onsite work fixed days each week -Onsite – roles where employees are expected to be onsite daily. -Hybrid flexible – roles that are a mix of remote work and onsite work, but the onsite requirements have greater flexibility. (i.e. 5-8 days a month vs. set days each week).

About Pseg

-Founded in 1903 from the merger of hundreds of gas, electric and transit firms, the company has grown into a major energy holding headquartered in Newark, New Jersey. -As a public energy company, it operates regulated utilities in New Jersey via PSE&G and manages electric distribution on Long Island under PSEG Long Island. -Through PSEG Power—its subsidiary—it owns and operates nuclear and fossil generation assets across the Mid‑Atlantic and Northeast. -Typical projects include infrastructure modernization of transmission and distribution systems, deployment of smart meters, and large‑scale grid investments under multi‑billion‑dollar capital plans. -The company seeks federal license extensions for its New Jersey nuclear reactors to operate into the 2050s and beyond.

Sector Specialisms

Visa Sponsorship

-pseg is not offering visa sponsorship for this position.

Security Clearance

-pre-employment drug and alcohol testing -testing for cause and post-incident/accident testing -random drug and alcohol testing for federally regulated roles