Econometrician at Planet Labs
San Francisco, CA, US
Welcome to Planet. We believe in using space to help life on Earth.

Planet’s mission is to image the whole world every day and make global change visible, accessible and actionable.

Planet builds compact satellites and has launched the largest fleet of satellites in history to do this. We control every component of hardware design and manufacturing, so our office is a truly inspiring mix of experts from a variety of domains.

With our humble beginnings in a Cupertino garage, to a scrappy team of engineers hacking our initial satellite builds, we now find ourselves with brand new technology and market traction for our revolutionary web-based platform. Customers now have insight into the massive data we are collecting from space as well as the opportunity to perform advanced analytics and solve difficult problems with new insights.

We have a people-centric approach toward culture and community and we are iterating in a way that puts our team members first and prepares our company for growth. Be a part of our mission and help build a company that is changing the world.

The Role:

We are seeking an Econometrician to apply statistical modeling and computing expertise to derive meaningful insights from our satellite imagery. Work with the Product, Engineering and Machine Learning teams to research, evaluate, and interpret the data to help our customers to answer questions.

Extract time series data on commodities e.g. oil supply, mining output or ag output.
Create external-facing reports of work and present to internal and external stakeholders and at industry events and conferences
Ensure the accuracy, reproducibility, and validity of analyses and models by following appropriate work practices and procedures
Must Haves:

B.A./B.S or M.B.A. with specialization in econometrics in econometrics, economics, or related field with 5+ years of relevant industry experience
Strong proficiency in statistical computing (R and Python) and experience with spatial data manipulation and big data technologies
Deep understanding of time series modeling and stochastic process
Direct, hands-on experience developing and working with economic and financial models and presenting to both internal and external stakeholders
Ability to work in a fast paced, agile development environment
Self motivated and able to work independently with minimal direct supervision
Excellent interpersonal and communication skills
Ability to prioritize multiple assignments and problem solve with minimum supervision
Excellent organizational skills
Some press about us:

Our CEO, Will Marshall's Dreamforce Talk

"Tiny Satellites ushering in the New Space Revolution" Bloomberg Businessweek

"The All-Seeing Eye in the Sky video" Bloomberg Businessweek video

"Q&A with Amy Truong, Planet's Director of Software Engineering" —Planet Blog

Join Us:

Planet is headquartered in San Francisco, California, Earth. If you are feeling inspired, check out our website and apply. Be sure to include a cover letter to let us know why you think you’d be a good fit and feel free to mention anyone you have previously worked with at Planet.

We are committed to building a diverse team and encourage applications from people of all backgrounds.