Data Scientist​/Predictive Analytics Specialist

Data Scientist/Predictive Analytics Specialist

Join to apply for the Data Scientist/Predictive Analytics Specialist role at Southern California Edison (SCE)

This range is provided by Southern California Edison (SCE). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Join the Clean Energy Revolution. Become a Data Scientist/Predictive Analytics Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will work closely with internal clients, Subject Matter Experts, data engineers, process leads, project/program managers, and other teams to turn data into actionable insights that support informed business decisions.

You will work in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by applying advanced analytics to solve business challenges and enhance business and customer experiences. Your tasks include analyzing large datasets, building predictive models, and generating insights that improve decision‑making. You will collaborate with cross‑functional teams, leveraging statistical methods, machine learning techniques, and advanced tools to address real‑world problems.

You will be accountable for partnering with OU clients to understand business needs, identify opportunities for improvement, and incorporate analytics solutions into business processes to ensure solutions deliver measurable business value and align with OU goals.

• 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.

• 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.

• Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline.
• Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist).
• Experience with cloud-based…