Expert Data Scientist

Requisition ID # 164869

Job Category: Accounting / Finance

Job Level: Individual Contributor

Business Unit: Electric Engineering

Work Type: Hybrid

Job Location: Oakland

Department Overview

Electric Asset Management is responsible for the electric system engineering and planning, asset strategy, and risk management across transmission, distribution, and substation asset families. This centralized, risk-informed approach allows PG&E to manage electric risk, asset and system health, interconnections, and performance by using consistent standards, work methods, prioritization, and program sponsorship, while leveraging lessons learned from inspections and asset data to inform asset management decisions. The organization is accountable for asset planning and strategy, standards and work methods, and asset data management for Electric. The Asset Knowledge Management (AKM) team, within Electric Asset Management, is responsible for the management, quality, and access of PG&E’s electric asset data. The team’s objective is to maximize the use and ensure the trustworthiness of PG&E’s critical electric data assets.

Position Summary

The Data Management & Analytics (DM&A) Product Development team develops client centered delivery of Electric data products that reduce risk and improve operations. The team is looking for a Principal level data scientist who thrives on driving engineering and asset management improvements and insights through strategic data science and analysis. The individual in this role must have demonstrated success with cross-functional projects, ability to communicate complex concepts to leadership across the organization, experience driving solutions, detailed oriented, and able to think strategically.

In this role, you will work closely with fellow product developers, product managers, and partners throughout the Electric organization to understand their needs to develop valuable products (full-stack development). You will be a thought leader, a tech lead and be instrumental in building processes, tools, libraries to improve the efficiency of the team.

Designs, and develops, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights using data science and analytics. Works on process improvement, and product development/ 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. Works with product managers, team members, clients, and senior leadership throughout the development cycle. practicing continuous improvement

This position is hybrid, working from your remote office and your assigned work location based on business need.

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:

Bay Area Minimum: $140,000

Bay Area Maximum: $238,000

Job Responsibilities

Qualifications

Minimum:

Desired:

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