#3210
eams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems.
u00a0
You will be accountable for partnering with Organization Unit ( 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 au00a0 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.
u00a0
Preferred Qualifications
Experience coding in Proficiency in Python, or Scala, SQL, SAS etc
Experience using the following database systems: MySQL, PostgreSQL, or MSSQL. Big Data Analytics: Hadoop environment, Hive, Pig or Spark.
Broad understanding of the electric utility industry and its regulatory environment.
Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging.
Two or more years of experience formulating high-level business goals as data science problems and identifying appropriate machine learning or data mining algorithms to solve various electric utility problems.
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.
Two or more years of experience working with GCP, Azure, Snowflake, and PowerBI.
u00a0
u00a0
Additional Information u00a0
This positionu2019s work mode isu00a0hybrid.u00a0The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.u202f Unless otherwise noted, employees are required to work and reside in the state of California.u202f Further details of this work mode will be discussed at the interview stage.u00a0The work mode can be changed based on business needs.
Visit ouru00a0 Candidate Resource u00a0page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
u00a0
About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. Weu2019re fueling the kind of innovation thatu2019s 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, youu2019ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
u00a0
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.