We’re looking for a Data Scientist to join Zapier. Interested in supporting a product that helps the world automate their work so they can get back to living? Then read on
You’re both passionate about business and statistics. You’re a maker and self-learner. Most of what you’ll do is identify and prioritize our most valuable business problems, analyze the related data, and communicate actions teammates should take in response. Today, Zapier serves over 900k users, enabling them to connect over 600 apps in over a million ways, and we’re growing at a rate of 7% each month.
Perhaps you’ve used econometrics to analyze business problems, run your own business, or helped a company grow in the past? You’re passionate about business. You enjoy helping teammates with pivot tables and spreadsheets and are interested in SaaS metrics like churn, lifetime value, activation, engagement and retention. Translating roughly defined business problems into clear statistical problems and back again will be key to this job.
You use Exploratory Data Analysis to learn the reasons behind data and communicate in polished and visually clear graphs. When communicating with teammates, you balance the essence of data with the complexity of data by designing clear statistics, graphs and tables that are easily digested by wide audiences. You seek domain expertise from your co-workers and apply a variety of statistical techniques to answer their questions.
The current data science stack is a unit-tested internal R library, an AWS Redshift database and an EC2 instance with gobs of memory. Need an RDS, S3 bucket or EC2? No problem, just spin one up.
You like to build tools for others that help them make decisions. You enjoy exploring data and helping others understand the narratives that appear in data. You also have a passion for business.
How to apply
We have a non-standard application process. Creativity is certainly encouraged. To jump start the process we ask a few questions we normally would ask at the start of an interview. This helps speed up the process and lets us get to know you a bit better right out the gate. Make sure to answer each question. Have fun with them. 🙂
Send an email to datajobs@zapier.com
Tell us about yourself.
Include links to any online code / repositories you’ve worked on.
Tell us about your favorite software library, package or technology.
Tell us about your favorite analysis technique and why it’s useful.
Pick one specific data service you’ve designed and built. Explain your process from 0 to shipped. Include details of the technologies you used, why you chose them, what design patterns you tried and the trade-offs you had to make.
Finally, wait for us to reply. I reply to everyone, even if we don’t seem like a good fit.
