Property Insurance Data Scientist - Remote

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 are building a first of its kind predictive insurance model that accurately assesses the risks from extreme weather to solar farms. We are looking for a data scientist to help internal customers (Underwriting, Product, Claims) by developing insights and models at the intersection of extreme weather, property insurance, risk modeling, and renewable energy. Your analyses, models, and tech-stack contributions will directly impact our business decisions and are critical to our success.

What you likely need to do the job well:

• You have a master’s degree in computer science, statistics, physics, 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
• 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
• An equity stake in the company, via incentive stock options
• A wide variety of health benefits, 401(k), HSA, FSA, and corporate discounts

Required skills:

• Excellent Python coding skills
• Experience with cleaning messy data sets, dealing with missing fields, and identifying outliers
• 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
• Identifying new and innovative ideas based on recent research articles
• 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

Nice to have:

• Domain knowledge in catastrophe / extreme weather modeling
• Experience working in commercial property insurance
• 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
• Familiarity with actuarial and insurance metrics

Location: Remote (US)
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.