Become a Data Science Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for working closely with internal clients, SMEs, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions.
You will work with the technology organization and business end-users to understand data and analytics needs and develop analytical solutions. You'll make decisions daily to support internal clients across the company in solving complex problems and creating values. You will be responsible for analyzing complex data sets, building advanced analytics models, and generating actionable insights to support decision-making and drive business outcomes. You will work collaboratively with cross-functional teams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems.
You will be accountable for partnering with OU clients to understand business problems, identify opportunities for improvement, and incorporate analytics solutions into business processes, to ensure analytics solutions deliver positive business value and are directly associated with OU goals.
As a Data Science Senior Specialist, 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- 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
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Master's degree or higher in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or business analytics.
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Broad understanding of the electric utility industry and its regulatory environment.
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Three or more years of experience using machine learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging.
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Formulate high-level business goals as data science problems. Identify appropriate machine learning or data mining algorithms to solve various electric utility problems.
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Capable of learning from state-of-the-art technical articles and reports. Has the ability to tailor state-of-the-art algorithms to solve the problem at hand, Has the ability to create insightful interpretations of the results.
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Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives.
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Two or more years of experience working with GCP, Azure, Snowflake, and PowerBI.
Southern California Edison
P.O. Box 800
Rosemead
California États-Unis
www.sce.com
