Job Description

Join the Clean Energy Revolution

Become a Data Scientist at Southern California Edison (SCE) and build a better tomorrow. In this job, youll use data and analytics to design new methods, approaches and procedures to set and evaluate performance metrics at the corporate level. You will also work with OU performance management groups to identify set of underlying operational metrics that impact corporate goals. As a Data Scientist, 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?

A day in the life - Get ready to think big, work smart and shine bright!

Use Case Understanding: Consult with SCE stakeholders and subject matter experts across OUs to develop an understanding of business needs and operations, goals and objectives, key drivers of performance and performance measurement data. Work closely with OUs to initiate and complete data analytics efforts that improve performance management capabilities at SCE

Data Requirements: Identify what data is available and relevant, including internal and external data sources; leverage new data collection processes; collaborate with information architects and data stewards/SMEs to select relevant sources of information; make recommendations on data collection, preparation, integration, quality, exploration and retention

Data Preparation: Facilitate selection and preparation of data to be used for specific use cases; develop and recommend data sampling techniques; develop data cleansing specifications and approaches.

* Apply missing data treatments as needed.
* Develop and/or implement tools for data acquisition, extraction, transformation, management, manipulation, and integration of large and complex data sets.
* Explore, model, mine, and experiment with data to answer critical business issues

Modeling & Deployment: Design, develop and evaluate highly innovative models for predictive learning. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

* Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.
* Translate business problems to mathematical problems.
* Perform variable selection and other standard modeling tasks. Develop simple visualization. Produce model performance metrics.
* Prepare deliverable reports for business teams and management to align on improved set of metrics and/or targets that gauge performance of goals and objectives

You will also keep abreast of new and current data science/big data techniques, develop relationships with data science individuals at other utilities and participate in relevant industry forums and groups. Train OU performance management groups in necessary functional and technical skillsets (e.g. SAS Enterprise Guide & Visual Analytics, performance forecasting, feasibility studies, etc.)

Advise, guide and lead data analytics efforts: Improve metrics/targets used to explain performance/progress to achieve business objectives and to inform business plan priorities. Key decisions expected:

* Work independently or under leadership direction
* Model and frame business scenarios that are meaningful and which impact critical processes and/or decisions
* Lead and orchestrate data analytics efforts to mine complex and disparate datasets for business insights to inform performance improvement recommendations
* Make recommendations on data collection, preparation, integration, quality, exploration, and retention requirements incorporating business requirements and knowledge of industry best practices/benchmarks
* Provide on-going tracking and monitoring of performance of decision systems and statistical models
* Make technical decisions on advanced analytics initiatives

Qualifications
The essentials

* Five (5) or more years of experience in data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
* Professional experience with the use of analytics and visualization toolsets specifically SAS Enterprise Guide, SAS visual Analytics, R programming, Python, SQL, expertise in extracting and transforming large datasets
* Proficiency in use of statistical packages, statistical analysis, quantitative analysis, forecasting & predictive analytics, multivariate testing, and optimization algorithms

The preferred

* Bachelors, M.S., or PhD in a quantitative discipline, (e.g., statistics, mathematics, engineering, computer science, or information sciences such as business analytics or informatics)
* Strong logical thinking and quick learning abilities
* Experience in working with cross functional teams in a matrixed environment
* Ability to gather necessary, relevant information through consultations with subject matter experts
* Certification in Data Science and/or Predictive Analytics
* Data modeling and integration knowledge and skills
* Data life cycle management knowledge and skills
* Experience with dashboards, business intelligence tools and visualization solutions
* Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over large data sets
* Knowledge of one or more business/functional areas in Electrical Utilities

You should know

* Visit our Candidate Resources page to get meaningful information related to benefits, perks, resources, testing information, and hiring process, and more!
* 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. Were fueling the kind of innovation thats 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, youll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected 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.

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