Data Science Manager

Data Science Manager

Join the clean energy revolution by becoming a Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this role, you'll lead a team of data scientists in developing and deploying innovative asset risk models that inform strategic decision-making and support regulatory filings. As a trusted technical leader, you will partner with engineers, strategy owners, IT, risk management, and regulatory teams to translate complex business needs into scalable solutions that help reduce wildfire, safety, and reliability risks. Your contributions will advance key company initiatives and help shape the future of data-driven risk management at SCE.

As a Data Science Manager, 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

• Manages and mentors a team of data scientists and analysts working on proactive and predictive analytics projects, developing team skills and fostering a collaborative, innovative environment.
• Leads the delivery of multiple analytics projects, ensuring they meet business objectives, timelines, and stakeholder expectations.
• Oversees the development and implementation of predictive models and Gen AI solutions to proactively address customer service issues and operational inefficiencies.
• Serves as a strategic partner to business units, IT, and automation teams to translate complex data insights into actionable, customer-facing solutions.
• Monitors processes for model performance and operational outcomes, using data-driven feedback loops to refine strategies and improve business processes.
• Stays current on industry trends and AI advancements to bring innovative practices into analytics and automation efforts.
• 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

• Five or more years of experience supervising a team of direct reports and/or project management. Experience leading a technical/analytical team.

Preferred Qualifications

• Master's degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field.
• Five or more years of hands-on data science experience spanning the full solution lifecycle, including ETL processes, feature engineering, model development and validation, and the translation of analytical results into actionable business insights.
• Strong knowledge of machine learning, artificial intelligence, and mathematics, with the technical depth to guide solution design and development.
• Demonstrated ability to solve complex problems and identify opportunities where data science and AI can create business value.
• Strategic thinker who aligns innovative solutions with key company initiatives and long-term business priorities.
• Strong written and verbal communication skills, with the ability to present complex technical information clearly and concisely to executives, stakeholders, and nontechnical audiences.
• Demonstrated success in leading and developing teams, managing competing priorities, and delivering results in a fast-paced environment.

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.

The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location). Relocation may apply to this position.