Data Scientist/Predictive Analytics Specialist
Join the Clean Energy Revolution
Become a Data Scientist/Predictive Analytics Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will work closely with internal clients, Subject Matter Experts, data engineers, process leads, project/program managers, and other teams to turn data into actionable insights that support 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 applying advanced analytics to solve business challenges and enhance business and customer experiences. Your tasks include analyzing large datasets, building predictive models, and generating insights that improve decision-making. You will collaborate with cross-functional teams, leveraging statistical methods, machine learning techniques, and advanced tools to address real-world problems.
You will be accountable for partnering with OU clients to understand business needs, identify opportunities for improvement, and incorporate analytics solutions into business processes to ensure solutions deliver measurable business value and align with OU goals.
Primary responsibilities will include:
- 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.
As a Data Scientist/Predictive Analytics 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
- Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects
- Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies
- Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives
- Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies
- Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed
- Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders
- Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques
- Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data
- Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously
- Keeps abreast of new and current data science and big data techniques
- 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.
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Minimum Qualifications
- Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
- One or more years of experience analyzing or manipulating complex data.
Preferred Qualifications
- 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 with cloud-based analytics platforms (e.g., AWS, Azure, GCP).
- Proficiency in Python or R for machine learning and predictive modeling.
- Familiarity with big data technologies such as Snowflake and Databricks.
- Knowledge of AI/ML frameworks and libraries.
- Strong understanding of data visualization tools (e.g., MS Platform Technologies, Power BI, Tableau).
- Experience integrating predictive analytics into business processes for measurable impact.
- Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation.
- Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
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 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.
- The primary work location for this position is Irwindale, CA.
- Relocation does not 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.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA
- Fitness Subsidies
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Internship Program
- Leadership Training Program
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Latinx founded/led
- BIPOC founded/led