Southern California Edison (SCE)

Energy Demand Modeling and Forecasting Data Scientist

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Rosemead, CA

full_time

$111,600-$167,400

About This Job

Join the Clean Energy Revolution

Become an Energy Demand Modeling and Forecasting Data Scientist at Southern California Edison (SCE) and shape our clean energy future. This position will conduct analysis of economic and demographic data, perform weather normalization analysis, and develop hourly load forecast for bundled and departing load customers for 10 to 30 years out. In addition, this position will perform research, build quantitative models, and develop forecasts of customer decisions in load growth areas. Potential areas of research include data centers, building electrification, industrial process electrification, transportation electrification, high tech farming, solar PV, and/or battery storage. Forecasts will be used for decision making in long-term strategic planning, resource development, power procurement, distribution, and grid planning.

As an Energy Demand Modeling and Forecasting Data Scientist, 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

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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

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Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies

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Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives

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Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies

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Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed

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Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders

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Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques

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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

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Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously

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Keeps abreast of new and current data science and big data techniques

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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

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Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.

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One or more years of experience analyzing or manipulating complex data.

Preferred Qualifications

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Graduate degree in Economics, Engineering, Mathematics, Statistics, or other quantitative related fields.

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Experience producing end-use energy forecasts.

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Experience with Excel functions such as Pivot Tables, Index/Match, Lookups, Macros, and VBA.

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Experience developing analytical tools using R and/or Python code.

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Experience using data visualization tools such as PowerBI or Tableau.

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Experience with energy/electric system analysis, or in other applicable fields of analysis.

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Demonstrated knowledge of end-use electrification, power procurement, Greenhouse Gas (GHG) emissions policies & markets, and related regulatory requirements.

Additional Information

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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 on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.

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

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Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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The primary work location for this position is Rosemead. However, the successful candidate may also be asked to work for an extended amount of time in the field.

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Position will require up to 10% traveling and being out in the field throughout the SCE service territory.

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Relocation does not apply to this position.

About Southern California Edison

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.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran 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.