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.
Key Responsibilities:
- Works with business partners to advance business processes, based on analytical findings.
- Develops and presents summary presentations to management.
- Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across PG&E.
- Serves as the technical lead for the development of simple models.
- Applies machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within PG&E’s software development environment.
- Works closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets.
- Shares and collaborates with other PG&E data science professionals.
- Documents data sources, methodology, and model evaluation metrics.
Required Education & Experience:
- Experience using Statistical Software (SPSS, Stata, SAS, R Studio, ect…)
- Knowledge of commonly used data science and/or operations research programming languages, packages, and tools
- Knowledge of the mathematical and statistical fields that underpin data science
- Ability to clearly communicate complex technical details and insights to colleagues and stakeholders
- Job-related experience (e.g. data analytics and modeling), 5 years, OR Master’s Degree and job-related experience, 3 years, OR Doctorate
- Ability to synthesize complex information into clear insights and translate those insights into decisions and actions
- Bachelors Degree in Computer Science, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
- Utility industry experience, 1 year
- Knowledge of relevant project management tools, theories and techniques as needed to support the timely and successful execution of project requirements
- Knowledge of systems thinking and structuring complex problems
- 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
- Understanding of data science/machine learning models and algorithms
- Ability to collaborate and/or work on a team
- Graduate degree in Computer Science, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline