Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. Enabling the realization of this opportunity and simultaneously ensuring we optimize the deployment of capital and maximize our profitability, the Capital Management team plays a critical role in the company’s financial health.
We’re looking for an experienced data scientist to partner with the Capital Management team to drive the use of data and modeling to deploy capital in the highest valued use cases, quantify capital requirements and efficiency, and identify areas for optimizing capital usage.
The ideal candidate has experience in statistical forecasting and mathematical optimization, thinks creatively about measurement that leads to actionable outcomes, and values rigor in data and modeling.
You will:
You’d ideally have:
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.
South San Francisco, CA, USA
2-4 year
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