Senior Data Scientist Advisor - Hybrid​/Remote Impact

Join the Clean Energy Revolution

Become aSenior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects.

By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure.

As a Senior 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?

Responsibilities

• Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems.
• Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights.
• Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality).
• Establishes standards and identifies techniques to solve data quality and integrity problems.
• Leads development and maintenance of models, tools and methods for highly complex analytics problems.
• Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights.
• Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making.
• Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges.
• Establishes scalable, automated processes for large-scale data analysis, modeling, validation and
• Implementation.
• Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach.
• 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

• Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
• Seven or more years of experience in data analytics related work.
  * PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

Preferred Qualifications

• Master’s or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field.
• Five or more years hands-on experience working in data science 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 evaluating and deploying artificial intelligence solutions into business processes.
• Experience with LiDAR data, processing and modeling.
• Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences).

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…