Senior Data Science Manager

Join the Clean Energy Revolution

Become a Senior Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be leading a highly talented and dynamic data science team in developing SCE’s asset risk models and advancing SCE’s data-driven, science-based strategies.

As a Senior 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

• Steers cross-functional business cases using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Directs large-scale, data science projects that leverage data transformation and machine learning models.
• Oversees the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Manages key initiatives for SCE and ensures data science and predictive analytics alignment with business strategies and outcomes.
• Delivers advanced analytics and AI use cases by engaging across the organization with all levels of the organization incorporates.
• Addresses business problems and leads the design, evolution, and validation of models and algorithms to ensure best performance and solve business problems; collaborates with engineers to deploy models and track model performance.
• Drives the development of predictive modelling of key assets to inform risk analysis and mitigation strategies in support of business initiatives and for regulatory filings.
• Champions the adoption of data-driven decision-making processes throughout the organization by effectively communicating results and insights to stakeholders.
• Fulfills advanced analytical initiatives to support key strategic priorities and focus areas.
• Monitors the quality of data architecture models determining whether or not they are current, fit for purpose and reflective of the market, collaborates with the use-case leads to ensure previously developed data models are reused or adapted.
• 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 or Ph.D. degree in computer science, statistics, mathematics, engineering, or related STEM discipline.
• Five or more years hands-on experience working in data science or analytics roles, including experience with machine learning algorithms, statistical modeling, and big data platforms.
• Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI.
• Experience leading regulatory process activities and filings by developing analyses, work papers, testimony, data request responses, and reports for agency proceedings, while applying risk‑management tools and frameworks including CPUC’s Risk‑Based Decision‑Making and Wildfire Mitigation Plans and perform benefit‑cost analyses that inform investment decisions.
• Experience evaluating and deploying artificial intelligence solutions into business processes.

Additional Information

• 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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