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Requisition ID # 157227
Job Category: Accounting / Finance
Job Level: Manager/Principal
Business Unit: Gen Counsel, Ethics, Risk & Compliance
Work Type: Hybrid
Job Location: Oakland
Department Overview
The Enterprise Risk and Operational Risk Management (EORM) organization is responsible for enabling the business to effectively manage risk in key areas of the enterprise. EORM organization is charged with overseeing all operational risk management related to PG&E’s operations and public safety including evaluating risks associated with wildfires, nuclear, dams, natural gas, cyberattacks and natural disasters.
Position Summary
The Principal Data Scientist will support the enterprise risk analytics function of providing quantitative risk analysis and modeling for effectively managing a variety of enterprise and operational risks that PG&E face. The work that the position performs will inform important decisions at PG&E and support various regulatory filings such as Risk Assessment and Mitigation Phase (RAMP), General Rate Case (GRC), Wildfire Mitigation Plan (WMP). You will work on continuous improvement of quantitative assessment of risk and its mitigations, and evolvement of the analytical tools (data processing, algorithms, python codes, excel files, foundry, etc) that enable consistent and useful evaluation of the risks and mitigations across the company. You will be responsible for designing, developing, and executing scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights for strategy and policy development, process improvement, and product enhancement. You will also work on technical development phases: data engineering, analytics/modeling, and visualization/user interface; interact with technical and non-technical clients to resolve analysis and technical issues; and work with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement. You will also review and validate existing methods, assumption, algorithms and models used and work on improving and advancing risk analytics at PG&E.
This position is hybrid, working from your remote office and Oakland General Office once per week and 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 between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
A reasonable salary range is:
Bay Area Minimum: $159,000
Bay Area Maximum: $271,000
Job Responsibilities
Qualifications
Minimum:
Desired:
#featuredjob
Full Time
Utilities
$190k-231k (estimate)
02/10/2023
06/28/2024
pgecorp.com
SAN FRANCISCO, CA
15,000 - 50,000
1905
WILLIAM D JOHNSON
$10B - $50B
Utilities
The job skills required for Principal Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.
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Career tips from people on Principal Data Scientist jobs
Experience manipulating large data sets through statistical software.
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Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
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