Data Science​/Predictive Analytics Senior Specialist

Data Science/Predictive Analytics Senior Specialist

Join to apply for the Data Science/Predictive Analytics Senior Specialist role at Southern California Edison (SCE).

This range is provided by Southern California Edison (SCE). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Join the Clean Energy Revolution. Become a Data Science/Predictive Analytics Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will be responsible for working closely with internal clients, Subject Matter Experts, 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 in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by solving complex problems and enhancing business and customer experiences.

Your tasks include analyzing large data sets, building advanced analytical models, and generating actionable insights for decision‑making. You will collaborate 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.

• 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.

• 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.

• 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, Postgre
  
  SQL, or MSSQL.
• Big Data Analytics:
  Hadoop environment, Hive, Pig or Spark.
• Two or more years of experience working GCP, Azure, Snowflake, Databricks, and Power
  
  BI.
• 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…