Climate Science Predictive Analytics Senior Specialist - Southern California Edison
Rosemead, CA
About the Job
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.
Your work will shape SCE’s Climate Adaptation Vulnerability Assessment, which depicts key risks and adaptation options to future climate conditions, enable integration of climate projections into key planning processes so future designs and investments are “climate informed”, and support engagement with those most vulnerable communities to jointly adapt to physical climate change impacts. Additionally, you’ll:
+ 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.
As a Climate Science Predictive Analytics Senior Specialist, your work will help integrate climate science in how SCE meets its net zero targets while addressing significant increased electricity demand, and future infrastructure investments incorporate future climate conditions when sizing and specifying grid investments. Are you ready to take on the challenge to help us build the future?
Responsibilities
+ 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.
Minimum Qualifications
+ 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.
Preferred Qualifications
+ 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.
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.
+ Visit our Candidate Resource (https://www.edisoncareers.com/page/show/candidate-resources) 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.
About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s 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’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected status.
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 (833) 343-0727.
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.
Your work will shape SCE’s Climate Adaptation Vulnerability Assessment, which depicts key risks and adaptation options to future climate conditions, enable integration of climate projections into key planning processes so future designs and investments are “climate informed”, and support engagement with those most vulnerable communities to jointly adapt to physical climate change impacts. Additionally, you’ll:
+ 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.
As a Climate Science Predictive Analytics Senior Specialist, your work will help integrate climate science in how SCE meets its net zero targets while addressing significant increased electricity demand, and future infrastructure investments incorporate future climate conditions when sizing and specifying grid investments. Are you ready to take on the challenge to help us build the future?
Responsibilities
+ 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.
Minimum Qualifications
+ 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.
Preferred Qualifications
+ 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.
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.
+ Visit our Candidate Resource (https://www.edisoncareers.com/page/show/candidate-resources) 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.
About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s 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’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected status.
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 (833) 343-0727.
Source : Southern California Edison
