176 applicants

Company

Original Job Post

Pacific Gas and Electric Company · 2 days ago

Expert Data Scientist

Oakland, CA

Full-time

Hybrid

Senior Level

$132K/yr - $226K/yr

6+ years exp

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EnergyEnergy Efficiency

Insider Connection @Pacific Gas and Electric Company

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Share and collaborate with other PG&E data science professionals.

Work closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets.

Gather, clean, transform, and/or reduce data from dissimilar sources from across PG&E.

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

Apply machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within PG&E’s software development environment.

Document data sources, methodology, and model evaluation metrics.

Serve as the technical lead for the development of high complexity models.

Assess business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.

Work with sponsor departments and company subject matter experts to understand application and potential of data analytic solutions to create value for end-users.

Present findings and make recommendations to senior management.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningComputer SciencePhysicsEconometricsEconomicsMathematicsApplied SciencesStatisticsJob-related ExperienceQuantitative risk analysisProbabilistic risk assessmentProbabilityRisk analysisProgramming (Python)GitMonte carlo simulationBayesian statisticsModel lifecycle managementSQLExcelPowerpointData visualizationModelingProject managementOperations researchInsights synthesisMentoringProblem-solvingAnalytical

Required

Masters Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

6 years of job-related experience

Preferred

Master's or PhD degree in statistics, data science, decision science, computer science, quantitative analysis, information systems, operations research, business, engineering, financial engineering, economics, or other equivalent fields

Relevant industry experience (electric or gas utility, analytical consulting, etc)

Experience in quantitative risk analysis or Probabilistic Risk Assessment

Strong foundation of probability, probability distributions, statistics and risk analysis

Competent programming skills in a language especially in Python and familiarity with Git

Demonstrated experience of Monte Carlo simulation methods and models

Familiarity and experience with Bayesian statistics and inference

Ability to work independently and proactively and to take initiative to improve analytical methods or processes

Experience with the elements of Model Lifecycle Management

Experience using retrieving data from structured database using SQL

Strong Excel and PowerPoint skills

Strong data visualization skills and techniques for communicating risk-related data and modeling results in a clear and visually compelling manner

Strong problem-solving, analytical, and organizational skills with attention to detail

Ability to share knowledge, information and progress with the team effectively and efficiently

Effectively copes with change, makes decisions and acts without having complete information and comfortably handles risk and uncertainty

Ability to research and apply knowledge, skills, and techniques to risk analysis

Ability to manage conflicts in a positive, non-abrasive manner

Ability to communicate with peers, leadership, and stakeholders in a clear and effective manner

Highly motivated and self-driven

Ability to collaborate with people with diverse background and skillsets

Ability to effectively manage and prioritize multiple and diverse tasks and adhere to tight deadlines

Knowledge of the business and its environment, key issues, and trends

Competency with relevant project management tools, theories and techniques as needed to support the timely and successful execution of project requirements

Competency with commonly used data science and/or operations research programming languages, packages, and tools

Proficiency in synthesizing complex information into clear insights and translating those insights into decisions and actions

Ability to clearly communicate complex technical details and insights to colleagues and stakeholders

Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals

Company

Pacific Gas and Electric Company

Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States.

Founded in 1905

San Francisco, California, USA

10,001+ employees