Join the Clean Energy Revolution

We are looking for a Senior Specialist that will lead manipulation and processing of the state's raw climate data into relevant projections as part of the Integrated Planning and Climate Adaptation team within the Resource and Environmental Planning & Strategy organization.

Become a Climate Science Predictive Analytics Senior Specialist at Southern California Edison (SCE) and shape our clean energy future. This position will be responsible for generating relevant climate projections, leveraging California's Fifth Climate Assessment climate data, across thousands of assets across SCE's service territory to support the assessment of vulnerability and risks associated with future climate conditions. The work will primarily focus on identifying relevant climate variables for each asset class studied, developing climate projections methodologies that use appropriate Global Climate Models (GCMs) and data sets, as well as statistical approaches for arriving at the desired projections results. The role's scope also includes working closely with asset owners to interpret climate projections and apply those projections to assess impacts, including asset degradation, system fragility and failure risks.

• Build data pipelines to intake large amounts of climate data and manipulate the data to generate custom climate projections for end use applications.
• Create, and maintain a repository of climate projection datasets, and develop tools and methods that allow SCE's organizational units to readily access these projections to incorporate in their decision-making.
• Collaborate with Enterprise Risk Management (ERM) in developing frameworks for quantifying consequences of future climate events and justifying climate adaptation investments.
• Engage with the California Public Utilities Commission and other California policymakers to answer emergent policy questions related to climate science and adaptation planning.
• Advance much-needed public support to build climate resilience across the State, and how SCE can best partner with our stakeholders on this shared challenge.
• Work with other utilities as well as electric industry groups to understand best and emerging practices in assessing physical climate change risks, quantifying those risks and developing appropriate adaptations to reduce those risks.

• Engages diverse stakeholders including data scientists, business clients, data engineers, SMEs and team members to define solutions to complex business problems requiring advanced analytics and modeling
• Develops predictive and prescriptive data models using machine learning, statistical modeling and other advanced techniques to uncover insights that improve data-driven decision making across the organization
• Identifies high-value use cases across business functions and domains to apply artificial intelligence, machine learning and data science to solve previously intractable business problems
• Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions
• Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities
• Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets
• Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes
• Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance
• Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact
• Develops peer relationships and participates in industry groups and events to stay current on data science
• 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.
• Three 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.

• Three or more years of experience in atmospheric modeling, machine learning, econometrics, or other statistical programming using Python.
• Significant experience developing predictive models to address analytical problems, and uncovering insights using statistical, algorithmic, data science, and visualization techniques.
• Experience developing data pipelines to work with large data sets from multiple sources, applying data quality and integrity techniques to address gaps and anomalies in data.
• Ability to visualize and effectively communicate model results and insights.
• Experience working with spatiotemporal and GIS-based datasets to model weather or climate and derive insights from those datasets.
• Excellent communication skills (verbal and written), to effectively interact with internal and external stakeholders concisely and explain technical information.
• Demonstrated ability to take pragmatic steps towards improving processes and methodologies while balancing organizational computational, resource, and process constraints.
• Demonstrated knowledge of Machine Learning model selection and usage, inclusive of documentation of results and model fit.
• Demonstrated interest in quantifying the impacts of climate change on energy assets and operations, and on the communities those assets and operations serve.
• Self-starter with sufficient intellectual curiosity to identify knowledge gaps and tools/ training/ resources to address those gaps.

• 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.\u202f Unless otherwise noted, employees are required to work and reside in the state of California.\u202f 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 Candidate 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.

• This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.

• Relocation may apply to this position.