Data Scientist, LATAM
Remote (North America), NYC
Data scientist, LATAM
Stripe’s core mission is to reduce the barriers faced by large and emerging businesses around the world by abstracting away the complexities of payments. The Global team is responsible for building the payment products & infrastructure needed to launch new markets and process payments successfully around the world.
Data scientists work closely with the Global LATAM team to help understand our users and build better products. We're looking for a data scientist who can work on a diverse set of problems like determining the core metrics and targets for our products and countries, building models for estimating and reducing risk , conducting statistical experiments for optimizing payments as well as analyzing product adoption & user onboarding patterns. If you are excited about deriving insights from data and motivated by having impact on the business, we want to hear from you.
- Be the first data science partner to the Global LATAM team and have the opportunity to work closely with product and business teams to develop the data science roadmap, 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 statistical experiments
- Drive the collection of new data and the refinement of existing data sources
We’re looking for someone who has:
- 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
- Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners
- The ability to communicate results clearly and a focus on driving impact