Job Location: Dublin, CA
Job Location: Dublin
Department Overview
Position Summary
Designs, develops, and executes 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. 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 teams, clients, and senior leadership throughout the development cycle practicing continuous improvement
Position location is flexible within the following counties: Alameda, Contra Costa, Marin, Monterey, Napa, Sacramento, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano and Sonoma.
Job Responsibilities
Shares and collaborates with other PG&E data science professionals.
Write, test, maintain, and debug software.
Develops new features to programs.
Works closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets.
Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across PG&E.
Works with business partners to advance business processes, based on analytical findings.
Applies machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within PG&E’s software development environment.
Documents data sources, methodology, and model evaluation metrics.
Serves as the technical lead for the development of simple models.
Develops and presents summary presentations to management.
Qualifications
Minimum:
Bachelors Degree in Computer Science, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
Job-related experience (e.g. data analytics and modeling), 5 years, OR Master’s Degree and job-related experience, 3 years, OR Doctorate
Desired:
Proficiency with programming Languages (JavaScript, SQL, C and C++, Python etc…)
Proficiency in coding (Data compression, Error control, line coding etc.…)
Learning concepts and applying them to other problems
Graduate degree in Computer Science, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline
Utility industry experience, 1 year
Experience with the elements of the data management lifecycle (data acquisition, security, storage, architecture, integration, governance, compliance, reference data management, data quality and metadata) and best practices
Knowledge of relevant project management tools, theories and techniques as needed to support the timely and successful execution of project requirements
Knowledge of commonly used data science and/or operations research programming languages, packages, and tools
Understanding of data science/machine learning models and algorithms
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
Knowledge of the mathematical and statistical fields that underpin data science
Ability to collaborate and/or work on a team
Knowledge of systems thinking and structuring complex problems
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