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Job description

Requisition ID # 149885

Job Category: Engineering / Science; Information Technology; Maintenance / Construction / Operations
Job Level: Individual Contributor
Business Unit: Electric Operations
Work Type: Hybrid
Job Location: Oakland

Department Overview
The Coworkers of Electric Transmission and Substation Operations ensure the delivery of safe and reliable electric service to our customers. The Transmission Work Strategy and Analytics group is responsible for helping run the day-to-day operations of PG&E’s Electric Transmission System. This group is responsible for executing on key strategic initiatives in Transmission to ensure the safety, quality, delivery, and budget targets are met. The team will work closely with each of the Transmission Organizations include Construction Management, Substation Maintenance, Transmission Maintenance, Temporary Generation and Project Management.

Position Summary
The Expert Data Scientist designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating useful insights for strategy and policy development, process improvement, and product enhancement. Works on technical development phases: data engineering, analytics/modeling, and visualization/user interface. Interacts with technical and non-technical clients to resolve analysis and technical issues and is able to summarize and package findings for presentation to multi-functional teams and leadership.

This position is hybrid, working from your remote office and Oakland, CA based on business needs.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.​

A reasonable salary range is:
Minimum Base Salary (Bay Area) $132,000.00
Maximum Base Salary (Bay Area) $226,000.00

Job Responsibilities
Apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, neural networks, etc. to see opportunities for operational improvements and develop strategic insights
Explore and integrate large and diverse datasets for useful insights
Implement and test algorithms and techniques relevant to achieving project objectives
Use predictive modeling to increase and optimize customer experiences, targeted marketing and other business outcomes
Analyze data for trends and patterns and interpret data with clear objectives in mind
Understand and anticipate the needs of product/program, and channel team to create data models and insights that lead to improved customer experiences.
Appropriately document data sources, methodology, and model evaluation metrics
Develop and present summary presentations for senior management
Create streamlined visual tools for end-users whenever applicable
Work with domain experts. Develop a working knowledge of various customer programs and services and channels of service delivery

Qualifications

Minimum:
Bachelors Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
Job-related experience, 5 years, OR Masters Degree and job-related experience, 3 years, OR Doctorate Degree

Desired:
Experience with SQL, Tableau, Power BI, Excel, PowerPoint and statistical programming languages (Python, R Etc, Foundry)
Experience within any area of Electric Operations in the electric utility industry
3-5 years of experience with scripting languages such as Python
Responsibilities
Understand user requirements
Understand the data in different systems, such as OSI PI and data warehouses
Fix data issues in the OSI PI system
Develop and maintain (issue resolution and enhancement) ETL jobs from various systems including OSI PI into MS SQL Server
Come up with innovative ideas to solve business problems using data
Document all work
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Utility industry experience, 1 year
Experience with Palantir Foundry
Experience in Natural Language Processing (NLP)
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions
Ability to clearly communicate complex technical details and insights to colleagues and stakeholders
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