Apache Hadoop, Apache Pig, Data Analytics, Data pipelines, Data science techniques, Data structuring, Deep Learning, Econometrics, Experimentation, Fraud Risk, Large data sets, Multi armed bandit models, Python Programming, R Programming, Regression Analysis, SPARK Programming, SQL, Statistical modeling
About the team
The Payment Intelligence group is responsible for optimizing each of the billions of dollars of transactions processed by Stripe each year on behalf of our users, in order to maximize successful transactions while minimizing payment costs and fraud. We own products like Radar, Adaptive Acceptance, and Chargeback Protection from end to end and work across the technical stack: from machine learning over our users’ data, to integrating ML intelligence and serving real-time predictions as part of Stripe’s payment infrastructure, to building user-facing product surfaces like dashboards and controls. We need your help in building out a culture of rigorous measurement, experimentation, and optimization.
What you’ll do
At Stripe, data science managers grow teams and inspire them to rigorous work that shapes our decisions and products. We’re looking for an experienced data science manager to lead our team supporting Payment Intelligence.
Responsibilities
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Stripe, Inc. is an Irish-American financial services and software as a service (SaaS) company dual-headquartered in San Francisco, United States and Dublin, Ireland. The company primarily offers payment processing software and application programming interfaces (APIs) for e-commerce websites and mobile applications.
Toronto, ON, Canada
10-12 year
United States
10-12 year
South San Francisco, CA, USA
10-12 year
New York, NY, USA
10-12 year
Seattle, WA, USA
10-12 year
South San Francisco, CA, USA
6-8 year