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Principal Data Scientist - San Francisco, CA

I'm Interested Date posted 10/02/2020

Requisition ID # 66466 

Job Category : Accounting / Finance; Business Operations / Strategy 

Job Level : Manager/Principal

Business Unit: Strategy & Policy

Job Location : San Francisco

Department Overview

The Strategic Data Science team utilizes advanced modeling and data science to drive PG&E’s transition to the sustainable grid of the future through quantitative decision-making. This work moves beyond descriptive reporting and is focused on driving the business forward through applied statistics, predictive and prescriptive analytics, and insightful tool design. The cornerstone of these high value analytics is one of the largest smart meter usage databases in the industry, that when combined with billing, program engagement, customer demographic, grid, and other data sources has unprecedented potential.

Position Summary

We are looking for a Principal Data Scientist to join our growing team. In this role you will have a unique opportunity to be at the forefront of utility industry analytics. Working as part of cross functional team, including other data scientists, technology experts, and subject matter experts this individual will help develop data driven solutions for decision making and operations. It is the perfect role for someone who would like to continue to build upon their professional experience and gain a comprehensive view of the nation’s most advance smart grid.

Job Responsibilities

Analytics and Modeling

• Gather, prepare, and analyze data from disparate sources to produce user-friendly models and actionable insights

• Work closely with domain experts. Develop a working knowledge of rate structures and elements, load shapes, distributed energy resource technologies and policy options

• Develop expertise with grid data, customer demographic information and other structured data sets

• Understand and apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, neural networks, etc. to identify opportunities for operational improvements and develop strategic insights

Communication, Summary Presentation and Visualization

• Appropriately document data sources, methodology, and model evaluation metrics

• Develop and present summary presentations for senior management

• Create streamlined visual tools for end-users 

• Work with business partners to advance business processes, based on analytical findings

• Work with team leadership to continually improve analytics at PG&E via demonstrations, mentoring, disseminating best practices, etc.

Qualifications

Minimum:

• Degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience

• Minimum of 10 years of relevant experience in data science or advanced analytics OR Master’s Degree and job-related experience, 8 years, OR Doctorate and job-related experience, 5 years

Desired:

• Excellent oral and written communication skills

• Degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience

• Minimum of 10 years of relevant experience in data science or advanced analytics (through graduate education or work experience)

• Demonstrated collaboration or paired development work history

• Demonstrated proficiency and experience working with relational databases, preferably in SQL

• Demonstrated proficiency writing clear and well documented code, preferably in Python

• Demonstrated proficiency with data science best practices, such as version control via Git or similar

• Demonstrated proficiency data visualization tools such as Tableau, D3, Plotly, etc.

• Demonstrated proficiency with model development for decision analysis, forecasting, or other complex quantitative modeling

• Demonstrated experience working with large datasets and knowledgeable about parallelization

• Strong understanding of statistics and experience developing supervised & unsupervised learning models

• History mentoring and teaching others as well as desire to continue to do so

I'm Interested