Data Scientist - Remote

  • kWh Analytics
  • San Francisco, CA
  • Feb 23, 2021

Job Description

What you likely need to do the job well:

  • You have a master’s degree in computer science, statistics, or related field; or equivalent real-world experience
  • You have a track record of spotting relevant trends in noisy data sets
  • You enjoy the challenge of balancing speed of results with robust statistical methods
  • You're good at communicating complex concepts in clear non-technical terms
  • You have the curiosity and drive to constantly learn new skills, and tools
  • You thrive in a fast-paced, dynamic environment as kWh adapts to a rapidly growing and changing solar industry
  • You are dedicated to quality, craftsmanship, truth and accuracy in reporting

What you can look forward to:

  • Comparing alternative modeling methodologies and choosing the best tools for the job
  • Continuously seeking new ways to validate and improve the accuracy of the model
  • Delivering well-supported analysis with uncertainty / confidence metrics that we can stand by
  • A wide variety of health benefits, 401(k), HSA, FSA, and corporate discounts
  • Working on a small, supportive team of mission-driven people
  • Working closely with our business development team, communicating model results and helping to make data-informed decisions
  • Professional development -- maximizing impact for yourself, your team, and kWh as a whole

Required skills:

  • Excellent Python coding skills
  • A good command of statistics -- random variables, statistical tests, confidence intervals, etc.
  • Ability to independently design analyses, support conclusions with data, and communicate results clearly
  • Fluency with a variety of statistical modeling/learning approaches, and ability to clearly explain the trade-offs and why a certain one is best for a certain problem
  • Experience with cleaning messy data sets, dealing with missing fields, and identifying outliers

Nice to have:

  • Domain knowledge of energy, project finance, or insurance
  • Experience working with photovoltaics (PV), wind, or battery data
  • Experience working with weather data and weather models

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