Python Programming, SQL, Apache Hadoop, Machine learning techniques, R Programming, Statistics, SPARK Programming, Forecasting, Design of Experiment
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
What you'll do
In this role, you will have the opportunity to rethink our sales forecasting pipeline. You’ll evaluate and implement time series models to forecast our newest users’ growth, create a framework for outlier detection in the case of unusual growth patterns, and evaluate statistical methods to communicate uncertainty in the forecasts. You’ll also partner with sales in developing new compensation programs using the forecasts and other available data. Finally, you’ll work on building an attribution model to credit sales leads to specific incoming channels (i.e. Outbound, Inside Sales, or Marketing).
Responsibilities
Who you are
We’re looking for data scientists to join the Data Science team who are excited about applying their analytical skills to understand our users and influence decision making. If you are naturally data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you.
Minimum Requirements
Preferred qualifications
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
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United States
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South San Francisco, CA, USA
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