Data Science Senior Advisor

Hiring Manager: \u00a0Zining Yang\u00a0

Job Abbreviation: \u00a0BOP940_P5_E\u00a0

Pay Grade: \u00a0\u00a0Exempt - 37\u00a0

Pay Range: \u00a0$182,800.00\u00a0-$274,100.00\u00a0

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Join the Clean Energy Revolution

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Become a Data Science Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you\u2019ll be responsible for advancing SCE\u2019s wildfire risk modeling practice by developing and enhancing wildfire risk models, providing model risk management, and supporting innovation and experimentation of new tools and technologies. You will be working closely with various stakeholders, SMEs, project managers, and external teams to turn data into critical information that can be used to make critical business decisions.

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As a\u00a0 Data Science Senior 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.

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Preferred Qualifications

• Master\u2019s or Ph.D. degree in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Computational Social Science.
• Broad understanding of the electric utility industry and its regulatory environment, as well as the wildfire risk modeling domain, methodology, tools and data.
• Five or more years hands-on experience working in data science or advanced analytics roles, including experience with machine learning algorithms, statistical modeling, and ML Ops.
• Experience with simulation techniques including Agent-Based Modeling (ABM), System Dynamics (SD), Complex Adaptive System (CAS), etc.
• Experience with various risk management tools and frameworks such as Probabilistic Risk Assessment (PRA), Failure Mode Effects and Analysis (FMEA), CPUC's Risk-Based Decision-Making Framework, Wildfire Mitigation Plans (WMP), etc.
• Familiarity with Google Cloud Platform, Snowflake, SAP, Palantir, PowerBI, and ArcGIS.
• Strong executive communication skills, including developing concise reports and presenting insights to senior leadership, delivering technical content to both technical and non-technical audiences.

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Additional Information\u00a0

• This position\u2019s work mode is\u00a0 hybrid.\u00a0 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.
• Visit our\u00a0Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more.
• 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.\u00a0

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About Southern California Edison

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The people at SCE don't just keep the lights on. Our mission is so much bigger. We\u2019re fueling the kind of innovation that\u2019s 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\u2019ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

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

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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 View email address on click.appcast.io or View phone number on click.appcast.io and select option 2.