Expert, Data Scientist (Flexible location)

Requisition ID # 168281

Job Category: Accounting / Finance

Job Level: Individual Contributor

Business Unit: Operations - Other

Work Type: Hybrid

Job Location: Oakland

Position Summary

This position develops models to support aspects of the Vegetation Management Operational Analytics implementation and operations. This position designs, develops and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes to develop and deploy models quantifying the probability of failure for vegetation in system territory. This individual collaborates with a multi-disciplinary project team of data scientists, data engineers, and subject matter experts on technical development phases: data engineering, analytics/modelling, and visualization/user interface. This individual interacts with technical and non-technical clients to resolve analysis and technical issues, working with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement. This role aims to quantify vegetation risk and develop tools to enable risk-informed operational planning and decision making. This position is expected to drive down vegetation failures on the system to ensure the safety of our customers.

This position is hybrid. You will work from your remote office and your assigned location based on business needs. The headquarters location is flexible within the PG&E service territory.

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, collective bargaining agreements, 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 Mid-Point: $189,000
Bay Area Maximum: $238,000
&/OR
CA Minimum: $133,000
CA Mid-Point: $180,000
CA Maximum: $226,000
This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

Job Responsibilities
Shares and collaborates with other PG&E data science professionals.
Works closely with domain experts to develop relevant domain knowledge in vegetation and electric assets, as well as knowledge of related datasets in climatology and meteorology.
Maintains and enhances data pipelines within the Palantir Foundry platform.
Works with business partners to advance business processes, based on analytical findings.
Applies machine learning and first principles modeling methods to develop robust and reliable analytical models, including visualizations, within the Palantir Foundry & AWS SageMaker platforms.
Documents data sources, methodology, and model evaluation metrics.
Serves as the technical lead for development of high complexity models.
Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
Works with sponsor departments and company subject matter experts to understand application and potential of modeling solutions that create value for end-users.
Presents findings and makes recommendations to senior management.
Works with all levels of leadership across functions to influence decisions.
Works independently on highly complex issues. Applying advanced knowledge and problem-solving skills to wide-ranging issues. Integrates industry knowledge related to data into everyday business practices and decision making.

Qualifications

Minimum:
Bachelor's degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience
8+ years of relevant experience in data science or advanced analytics, OR master's degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years

Desired:
Graduate degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience
Relevant industry (vegetation, forestry) experience, 3 years
Experience collaborating on a data science team and conducting peer reviews of code and modeling work
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience with the following programming languages: PySpark, Python, and SQL
Experience with Palantir Foundry, AWS SageMaker, and GitHub
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
Familiarity with Agile product management
Detail-oriented and meticulous about documentation

Purpose, Virtues and Stands

Our Purpose explains "why" we exist:

• Delivering for our hometowns
• Serving our planet
• Leading with love

Our Virtues capture "who" we need to be:

• Trustworthy
• Empathetic
• Curious
• Tenacious
• Nimble
• Owners

Our Stands are "what" we will achieve together:

• Everyone and everything is always safe
• Catastrophic wildfires shall stop
• It is enjoyable to work with and for PG&E
• Clean and resilient energy for all
• Our work shall create prosperity for all customers and investors

More About Our Company

EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.

Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice

PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.