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PG&Eposted 12 days ago
$22 - $36/Yr
Intern
Hybrid • Oakland, CA
Utilities
Resume Match Score

About the position

We are looking for a Data Scientist Intern to join us and help us better understand customer experience leveraging data. In this role, you will design, develop, and execute scripts, programs, models, algorithms, and processes, using structured and unstructured data across surveys and other disparate sources; this work will produce actionable insights for customer strategy, policy development, process improvement, and product enhancement. Successful candidates will be able to interact with technical and non-technical coworkers to resolve analysis and technical issues and are able to summarize and package findings for presentation. You will play a key role in fundamentally changing how we deliver for our hometowns!

Responsibilities

  • Understand and apply statistical and analytical modeling methods and Generative AI (LLM) to identify opportunities for improving customer experience
  • Analyze data for trends and patterns and interpret data with clear objectives in mind
  • Develop expertise with customer demographic data, billing data, and other structured/unstructured data
  • Appropriately document data sources, methodology, and model evaluation metrics
  • Develop and present summary presentations

Requirements

  • Qualified candidates are pursuing a Master's degree in Data Science, Computer Engineering, or related field at an accredited University
  • Students must be continuing their education towards their degree during and/or after the internship

Nice-to-haves

  • Took courses in machine learning/statistical learning, coding (python & SQL)
  • Knowledge in generative AI/LLM
  • Ability to work in a team environment and support fellow team members
  • Strong problem solving and analytical skills
  • Strong communication skills, both oral and written
  • Takes initiative and can work independently with minimal direction

Benefits

  • Hourly rate for this position ranges from $22.77 to $36.42

Job Keywords

Hard Skills
  • Applied Statistics
  • Computational Science And Engineering
  • Data Structures
  • SQL
  • Unstructured Data
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  • MiK9QnfN opAP2VmrNtBk
  • nxH20rd5j8 eAMCvasldzn4
  • pN7lynzX6d WVc7upt
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  • ydUJwSa Mymc2
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