Senior Data Scientist – Enphase Energy – Petaluma, CA
Senior Data Scientist – Petaluma, CA
Product Management | Petaluma, CA, United States
Enphase Energy’s microinverter system is profoundly changing the way solar systems function, and as a result, changing the solar industry itself. By combining the power of solar energy with a unique high-tech approach to the industry, Enphase Energy makes solar power systems productive, reliable, safe and intelligent.
We are the fastest growing solar inverter company in the world and we are building teams with highly talented individual contributors and leaders who envision, specify and launch next generation energy technologies. Our work environment is fast-paced, fun, and full of exciting new projects.
Do you believe data insights can help change the world? If so, read on…
We’re looking for a brilliant individual to form the cornerstone of our data science team. Our process gives you ownership over the projects you tackle, so dream big, then execute well. You’ll survey Enphase as a business, identify key opportunities, and use any and all available data to draw actionable conclusions that will guide the direction of the company.
What you can look forward to:
Working closely with our strategy and product development teams, you’ll acquire a deep understanding of the future of energy and how solar fits into that future.
5 years of historical data from millions of devices and TB of new data daily will be your personal sandbox.
BS degree in Computer Science, Mathematics or related technical field. Post graduate degree a plus
5+ years of related experience
You’ll design, implement and launch experiments to test your hypotheses
You’ll identify and implement metrics that align with company goals
You’ll contribute to our codebase and perform analyses in R or another statistics tool of your choice
You’ll advise coworkers on the (mis)use of statistics to understand data
What you’ll bring:
You have a deep/advanced understanding of probability and statistics, including (but obviously not limited to) experimental design, randomization and blocking, error types and loss, frequentist vs. Bayesian approaches, bootstrapping and simulation, modeling (including techniques for nonlinear responses, generalized linear models, and model selection and evaluation), confounding and effect modification.
You’re highly proficient/an expert with statistical analysis in an environment/tool/language of your choice and comfortable creating repeatable, automated analyses.
You have advanced skills writing efficient code to handle large data sets (on a single machine).
You express yourself clearly and concisely in written and verbal discussion of complex problems.