Senior Data Scientist

Stripe•Seattle, WA

10d•Hybrid

About The Position

About Stripe Stripe, LLC. 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.

Requirements

Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of experience in Data Science or a related occupation.
Three (3) years in Statistical and machine learning methods.
Three (3) years in Numerical optimization & integer programming.
Three (3) years in SQL.
Three (3) years in Python.
Three (3) years in Optimization.
Three (3) years in Forecasting and machine learning domain.

Responsibilities

Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data.
Work closely with product and business teams to identify important questions and answer them with data.
Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques.
Conduct exploratory analysis on internal data to understand user behavior to inform product development.
Drive the collection of new data and the refinement of existing data sources.
Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution.
Predict future performance of users or products.
Define, measure, and monitor key outcome metrics for teams and support Stripe’s business.
Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization.
Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development.