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Data Scientist
Data Scientist
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LOCATION: REMOTE, ANYWHERE IN THE U.S.
About kWh Analytics:
kWh Analytics is the insurer for the energy transition. We invented the Solar Revenue Put to help solar investors reduce their biggest cost: the cost of capital. The credit enhancement is backed by the world’s largest reinsurer (Swiss Re) and has been valued by the leading project finance banks (such as MUFG and Nomura) and implemented by top investors (such as AES and Ares) on more than $3 Billion of solar projects. We wrote the book to define “risk management” for solar investors.
By combining the industry’s broadest database of historical solar asset performance (>30% of the US market) and the strength of the global insurance markets, kWh Analytics enables clients to minimize risk and increase returns. kWh Analytics is backed by private venture capital and the US Department of Energy.
Who we are looking for:
As a Data Scientist at kWh Analytics you’ll have the opportunity to work at the forefront of innovation in an emerging industry, with an experienced, mission-driven team. Your contributions will help us continue creating products that power the growth of the solar industry and ultimately help fight climate change.
We have built a first-of-its-kind predictive model that can accurately forecast the energy output of solar power projects, and we need your help as we take this technology to the next level. We need a self-starter who has a strong quantitative background, great communication skills and an interest in working closely with our business team on projects that are critical to our success.
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
Learn more about what we do and why it matters: https://www.kwhanalytics.com/company-overview
kWh Analytics is an equal opportunity employer. We celebrate diversity and are committed to maintaining an inclusive environment for all employees.
This job is no longer open