Troops to Energy Jobs

Job Information

Southern California Edison Data Scientist Advisor [Hybrid] in Pomona, California

Job Description

Join the Clean Energy Revolution

Become a Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for developing the modeling of complex analytical problems, discovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytical skills, the advisor will be responsible for developing business requirements and coordinating with groups in and outside of the Transmission and Distribution group. You will need to develop, present, and communicate results. As a Data Scientist Advisor , 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?

A day in the life - Get ready to think big, work smart and shine bright!

  • Generate sophisticated analytical approaches using predictive modeling, optimization, and simulation.

  • Apply statistical and pattern recognition techniques to perform description, prediction, and optimization.

  • Ability to provide solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

  • Develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets. Explore, model, mine, and experiment with data to answer critical business issues and, generate and communicate business insights.


The Essentials

  • Bachelors in a quantitative subject area such as Statistics, Mathematics, Engineering, Computer Science, or information sciences such as business analytics or informatics.

  • Five or more years of experience in Predictive Modeling or Machine Learning or Statistical Modeling or Data Mining.

  • Proficient with Python or R.

The Preferred

  • MS or PhD in a quantitative subject area such as Statistics, Mathematics, Engineering, Computer Science, or information sciences such as business analytics or informatics.

  • Certification in Data Science or Predictive Analytics.

  • Proficiency with SQL and/or SAS.

  • Data integration knowledge and skills.

  • Experience with Machine Learning.

You should know …

  • Effective January 2022, this position’s work mode is Hybrid . The employee will report to an SCE facility for a set number of days with the option to work remotely onthe remaining days. Unless otherwise noted, employees are required to reside in the state of California. Further details of this work mode will be discussed at the interview stage.

  • Visit our Candidate Resource page ( to get meaningful information related to benefits, perks, resources, testing information, and hiring process, and more!

  • Relocation may apply to this position.


  • This position requires testing and applicants who are identified to continue through the selection process will be invited to test via email. Please access our Information Guides ( to reference test(s): (Test #8203). Candidates who have previously passed these assessment(s), in some cases, may not need to retest again for this position.

About SCE

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.