Data Scientist EcoFactor
EcoFactor is a fast growing startup that helps homeowners save energy. We collect thousands of data points from each home each day via a communicating thermostat. We use this data to calculate heating and cooling strategies that save the energy without compromising comfort, and then implement these strategies in realtime. Our optimizations reduce monthly bills, shed peak load, detect faults, and keep homeowners comfortable.
We're a smart and passionate team based in Redwood City, California. Come and help us move home energy management into the future.
We're looking for a dynamic data scientist to develop algorithms for automated energy efficiency. The successful candidate will contribute at all levels, defining product, implementing production code, coordinating other contributors, and monitoring daily operation. Deep intuition for numerical models, strong coding, and concise communication are essential.
You'll have access to a dataset that is huge, and that continues to grow exponentially. You'll be supported by a team of experienced engineers and use state of the art hardware. You will deploy your algorithms on a distributed platform and see them run in homes nationwide. Your results will be discussed at all levels in the company and will directly inform product development. You'll drive algorithms all the way from conception to production.
This might be the right job for you if:
you love loess, homoscedasticity, and PACF
you care deeply about visualizations and information density
you are often skeptical of models and optimizations
you hate ugly code
you've read 'Code Complete', 'The Pragmatic Programmer', or other books in the genre
you've considered starting your own company
you care more about kWh than CTR
DUTIES AND RESPONSIBILITIES
Support basic research, aggressively testing ideas on a start-up?s schedule
Leverage a wide range of numerical methods
Develop powerful visualizations to share with company and customers
Develop algorithms and deploy them to Hadoop
Develop solid 0.1 code, outstanding 1.0 code
Constantly simplify, reduce, and refactor
Aggressively seek out corner cases
Own the whole stack, from algorithm to monitoring
Train other teams and equip them with tools
MS in a quantitative with 5+ years of industrial experience
Track record of building large-scale numerical programs
Understanding and appreciation for high quality code and associated best practices
Must have been a core member of a highly successful product development team, with substantial architectural and programming contributions
Fluency in object-oriented programming (e.g. Python, Java), numerical scripting (e.g. R, Matlab), and Unix
Expertise in the manipulation of large datasets (> 1 TB)
Experience in developing data products for the consumer market
||Redwood City, CA |