Analytics Software Engineer / Data Scientist (2+ years relevant experience)
Contract-to-hire
$60-70/hr (40 hrs/week)
Strong preference for Colorado, US-based candidates
We’re looking to expand our team with either an analytics-minded software engineer, or a data scientist with hands-on experience building cloud software. Our ideal candidate is very comfortable working in a solution-oriented mode, and is happy to communicate directly with partners/clients (they’re all lovely folks!).
Current projects include mapping out residential data to support municipal electrification programs, crunching data to identify energy-intensive small businesses in South America, simulating home energy use, and creating automated systems that leverage public Department of Energy tools such as ResStock and EnergyPlus.
Opportunity to convert to full-time staff after ~3 months if it’s a mutual fit. Options to remain part-time hourly exist as well.
Benefits:
“Mostly-remote”, or hybrid work (we like to get together once every week or two)
Hardware provided if needed
Upon conversion to full time:
Flexible schedules and untracked PTO
Bonus plan
Health, vision, dental coverage
Skillset:
Adept with using Python both for data analysis and back-end service development
Experience working in AWS – especially lambdas and data/analytics services like S3, SageMaker, Athena, etc.
Adept in digging into data with SQL, Pandas/Polars, or whatever tools necessary to quickly debug/examine datasets
A strong bias towards simple software, and “buy” vs. “build”
Able to use low/no-code tools to stand up MVPs, to quickly get data/analytics in the hands of customers
Fearlessness and flexibility when diving into new technologies and languages
Passion for the energy and climate tech industry
Nice-to-haves:
Able to solve cloud infrastructure challenges – no such thing as “that’s DevOps’ job”
Data engineering experience across batch and streaming needs
Experience with JS/Typescript and React
Background in applied mathematics, physics, or weather modeling is a plus. Otherwise, an aptitude and enthusiasm for math-ier “bottoms up” modeling of real-world phenomena when necessary.
That said – we believe that aptitude, positive attitude, and fearlessness trumps any particular “skillset checkbox". If you think you’d be a good fit, and have some relevant experience to share, don’t hesitate to reach out!