Python Programming, Apache Hadoop, Machine learning techniques, SPARK Programming, Forecasting, Large data sets, Scalding
About the team
At Stripe, you’ll be part of a rich Data Science community for Analysts, Scientists and Engineers to learn and grow together. At the same time, our embedded org structure means that you’ll be working closely with our Product Pricing partner team.
What you’ll do
Stripe’s business is complex and growing, and forecasting its future is no easy feat. Our forecasting efforts are diverse, spanning different dimensions of our business (geographies, business types), variable time periods (early-stage vs late-stage users), and methodologies (traditional time series modeling, ML-based methods). We are looking for an experienced data scientist to work on the planning, implementation, and building of infrastructure that enables and automates forecasting across all of Stripe. If you are excited about time series modeling and motivated by having an impact on the business, we want to hear from you.
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
Preferred 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.
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