San Francisco, CA, USA
Generate insights and impact from data.
Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year.
With all this data, we’re looking for talented data scientists to join the Data Science team to help us better understand our users and build better products. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you.
- Work closely with product and business teams to identify important questions and answer them with data
- Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
- Design, analyze, and interpret the results of experiments
- Drive the collection of new data and the refinement of existing data sources
You’d ideally have:
- 3+ years experience working with and analyzing large data sets to solve problems
- A PhD or MS in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS)
- Expert knowledge of a scientific computing language (such as R or Python) and SQL
- Strong knowledge of statistics and experimental design
- The ability to communicate results clearly and a focus on driving impact
Nice to haves:
- Prior experience with data-distributed tools (Scalding, Hadoop, Pig, etc).
You should include these in your application:
- A resume and LinkedIn profile
- Description of the most interesting data analysis you’ve done, key findings and its impact
- Link or attachment of code you’ve written related to data analysis