Southern California Edison (SCE) · 1 month ago
Data Science/Predictive Analytics Senior Specialist
Irwindale, CA
Full-time
Hybrid
Mid, Senior Level
$126K/yr - $189K/yr
3+ years expSouthern California Edison (SCE) is committed to fueling innovation in the energy sector and creating a cleaner future. They are seeking a Data Science/Predictive Analytics Senior Specialist to develop predictive analytics solutions, collaborate with cross-functional teams, and enhance business processes through data-driven decision-making.
Communications InfrastructureElectrical DistributionEnergySustainability
Responsibilities
Collaborate with team members and stakeholders to support solutions for data-driven business challenges
Build and implement predictive and prescriptive models to improve decision-making
Assist in identifying opportunities for AI, machine learning, and data science to address business needs
Translate defined business objectives into actionable requirements for AI/ML models
Contribute to the design and development of AI/ML models using established techniques and frameworks
Apply machine learning algorithms and data mining methods to analyze datasets and generate insights
Monitor model performance and support enhancements to maintain accuracy and reliability
Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions
Stay informed on emerging tools and techniques; share recommendations with the team
Participate in team knowledge-sharing and professional development activities
Ensure compliance with security and integrity standards when handling sensitive data and assets
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
Qualification
Required
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
Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline
Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist)
Coding: Proficiency in Python, or Scala, SQL, SAS etc
Advanced proficiency in machine learning and predictive modeling
Database systems: MySQL, PostgreSQL, or MSSQL
Big Data Analytics: Hadoop environment, Hive, Pig or Spark
Two or more years of experience working GCP, Azure, Snowflake, Databricks, and PowerBI
Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging
Formulate high-level business goals as data science problems. Identify appropriate machine learning or data mining algorithms to solve various electric utility problems
Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation
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
Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives
Broad understanding of the electric utility industry and its regulatory environment
Company
Southern California Edison (SCE)
As one of the nation’s largest electric utilities, we’re bringing more clean and renewable sources of energy to Southern California.
10001+ employees
H1B Sponsorship
Southern California Edison (SCE) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (6)
2022 (3)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$2B2025-01-09Debt Financing· $1.5B
2024-09-03Debt Financing· $500M
Leadership Team
Michael Backstrom
Senior Vice President, Regulatory Affairs
Lizeth Ruvalcaba
Senior Manager, People Operations and Enablement
Recent News
bloomberglaw.com
2026-01-08
San Gabriel Valley Tribune
2026-01-07
2026-01-07
Company data provided by crunchbase