Data Science/Predictive Analytics Senior Specialist

Description

• Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions.
• Build and implement predictive and prescriptive models to improve decision-making.
• Translate defined business objectives into actionable requirements for AI/ML models.
• 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
• Contribute to the design and development of AI/ML models using established techniques and frameworks.
• Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance
• Formulate high-level business goals as data science problems. Identify appropriate machine learning or data mining algorithms to solve various electric utility problems.
• Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets
• Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities
• Participate in team knowledge-sharing and professional development activities.
• Stay informed on emerging tools and techniques; share recommendations with the team.
• 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
• Monitor model performance and support enhancements to maintain accuracy and reliability.
• Assist in identifying opportunities for AI, machine learning, and data science to address business needs.
• Develops peer relationships and participates in industry groups and events to stay current on data science
• Collaborate with team members and stakeholders to support solutions for data-driven business challenges.
• Apply machine learning algorithms and data mining methods to analyze datasets and generate insights.
• 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
• Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions
• Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes
• Ensure compliance with security and integrity standards when handling sensitive data and assets.
• 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.
• Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact

Requirements

• Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging.
• Big Data Analytics: Hadoop environment, Hive, Pig or Spark.
• Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives.
• Coding: Proficiency in Python, or Scala, SQL, SAS etc.
• 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.
• 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.
• 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.
• Two or more years of experience working GCP, Azure, Snowflake, Databricks, and PowerBI.
• 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).
• Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation.
• Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
• Broad understanding of the electric utility industry and its regulatory environment.
• Advanced proficiency in machine learning and predictive modeling.
• Database systems: MySQL, PostgreSQL, or MSSQL.

Benefits

• 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.

Training + Development

Interview process

Visa Sponsorship

Security clearance