categories: onsite roles, hybrid roles that are a blend of onsite and remote work, remote local roles that are primarily home-based but require some level of purpose-driven in-person interaction and living within a commutable distance, and remote non-local roles that can be effectively performed remotely with the ability to work in approved states.
PSEG offers a unique experience to our more than 12,000 employees – we provide the resources and opportunities for career development that come with being a Fortune 500 company, as well as the attention, camaraderie and care for one another you might typically associate with a small business. Our focus on combatting climate change through clean
energy technology, our new net zero climate vision for 2030 and enhanced commitment to diversity, equity and inclusion; and supporting the communities we serve make this a particularly exciting time to join PSEG.
Job Summary Work with various stakeholders within Electric Delivery to build analytics solutions for Electric Operations (Transmission, Substation and Distribution) identifying trends and patterns to predict the probability of an asset failing, show degradation of asset performance compared to its peers, and define the risks associated with an asset failing. Create “what if” scenarios to recommended asset management replacement plans that would impact reliability by projecting
of how assets will age and the impacts on deferring or accelerating maintenance or capital spend.
Work with the team and stakeholders to develop project plans for analytical studies, help secure the resources necessary to achieve plan and work with the team to execute the study. This will include: •Understanding the data-analytic problem presented. •Identifying data sets and variables necessary to perform the analysis. •Securing access to the data and extracting the data in a logical and efficient manner •Cleaning and validating the data to ensure accuracy, completeness, and uniformity. •Devising and applying mechanisms to mine the data. •Using analytical tools to identify patterns and trends.
•Interpreting the data to discover solutions and opportunities. •Communicating findings and recommendations to stakeholders using visualization and other means. Job Responsibilities •Collect, summarize, and analyze various operational, non-operational data for electric inside and outside plant. •Identify valuable data sources to ensure data is cleansed and properly structured. •Transform data to identify patterns and develop trends to help our SMEs make decisions around design, maintenance, and replacement strategies to improve electric system reliability.
•Apply statistical analysis and data mining to validate assumptions and test hypotheses. •Develop databases and/or code to create models and scenarios (e. g. SQL, SAS, Python, R) •Build and maintain relationships within our AMCS, Electric Operations, and IT stakeholders as well as participate in cross functional teams. •Effectively communicate results and insights to subject matter experts and team members •Support business adoption of technology solution. Job Specific Qualifications •Bachelor’s degree in Data Science, Engineering, Computer Science, Information Technology, Information Systems, or related field.
•2 - 5 years knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms. •2 – 5 years’ experience (can apply to school projects/assignments) using query languages such as SQL, applying statistics skills such as distributions, and/or coding using Python or R. •Must be detailed oriented and have experience working with large data sets. •Excellent verbal and written communication skills; able to communicate highly technical concepts in a clear, succinct, and relevant way to non-technical stakeholders. •Results oriented, data driven, and self-starter.
Desired: •Advanced degree, e. g. Master’s Degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, etc. •Knowledge of OSI PI product (OSI PI Architecture and security principles, PI AF hierarchy and analytics, understanding of tag creation and configuration of remote PI Interface nodes) •Experience in web development. •Some knowledge of electric/gas transmission and distribution systems. Minimum Years of Experience 2 years of experience Education Bachelor Certifications None Noted Disclaimer Certain positions at the Company may require you to have access to Part 810-Controlled Information.
Under the law, the Company is limited in who it can share this information with and in certain circumstances it is necessary to obtain specific authorization before the Company can share this information. Accordingly, if the position does require access to this information, you must complete a 10 CFR Part 810 Export Control Compliance Nationality Request Form, a copy of which will be provided to you by Talent Acquisition if an offer is made. If there is a need for specific authorization, due to the time it takes to obtain authorization from the government, we will likely not be able to further proceed with an offer.
PSEG is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legally protected characteristic. Legally protected characteristics include race, color, religion, national origin, interaction, age, marital status, interactionual orientation, disability or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals. As an employee of PSEG you should be aware that during storm restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations.
PSEG’s drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing. For employees in federally regulated roles (including positions covered by USDOT, PHMSA, or NRC regulations), this also includes random testing. All drug and alcohol testing for federally regulated roles is inclusive of marijuana. Employees who transfer into a federally regulated role are subject to drug and alcohol testing, inclusive of marijuana.
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