Grid Operations Power Systems Data Scientist Specialist
Job in
Irvine, Orange County, California, 92604, USA
Listed on 2026-06-11
Listing for:
Southern California Edison
Full Time
position Listed on 2026-06-11
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager, Data Scientist
Job Description & How to Apply Below
Become a Grid Operations Power Systems Data Scientist Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll assist in developing and maintaining impactful technical solutions making Grid Operations safer and more efficient. Your work will harness SCE's varied sensors and systems to identify opportunities to better understand conditions on the electric grid, then bring those actionable insights to Operators and Field Personnel.
As a Grid Operations Power Systems Data Scientist Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
** Responsibilities*
* + Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects.
+ Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies.
+ Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives.
+ Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies.
+ Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed.
+ Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders.
+ Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques.
+ Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data. Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously.
+ Keeps abreast of new and current data science and big data techniques.
+ A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
** Minimum Qualifications*
* + Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
+ One or more years of experience analyzing or manipulating complex data.
Preferred Qualifications
+ Strong proficiency in Python and common data science or analytics libraries, with hands-on experience working with large, complex, or time-series datasets and a demonstrated interest in deeply understanding the data.
+ Experience developing and supporting data-driven applications or advanced analytics solutions end-to-end, from data exploration and preparation through deployment and ongoing maintenance to solve real-world problems.
+
Experience with electrical power systems and/or electrical engineering applications.
+ Familiarity with modern data platforms and analytics environments, including best practices for building, deploying, and scaling analytics or data-driven applications.
+ Ability to translate analytical results into clear, actionable insights, dashboards, or tools for both technical and non-technical audiences.
+ Demonstrated ability to build and maintain positive working relationships. Positive experience working collaboratively across teams and communicating impact, including quantifying the business or operational value of analytics or…
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