UX (advanced) SQL (advanced) Python (advanced) React (advanced) Who we are
About Stripe Stripe is a financial infrastructure platform for businesses.
Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse 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 everyones reach while doing the most important work of your career.
What youll do We are looking for a talented data scientist to partner with the Risk UX team.
Youll take a rigorous approach to quantify user friction and drive risk/reward trade-offs across partner teams.
As a data scientist, you will get to employ the full data science toolbox in order to solve challenging problems in this exciting domain, from experiments to working with our partner teams to rigorously define and forecast metrics, and developing and deploying ML models to solve user needs.
If this sounds exciting, we hope you will join us!
Responsibilities Act as an embedded partner to the Risk UX team, helping them to identify and answer questions with data and modeling
Create analyses that tell a story focused on actionable insights, not just data
Build statistical and/or machine learning models to quantify user friction
Analyze user survey results at a large scale
Use data, experiments, statistical inference to measure UX improvements
Build and improve data ETL pipelines to collect new data andrefine existing data sources
Who you are Were 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 A PhD or MS in a quantitative field (preferably in Economics, otherwise Operations Research, Statistics, Sciences, Engineering)
Ideally 5+ years experience working with and analyzing large data sets to solve problems and drive impact
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics, machine learning and optimization
Experience working with multiple cross-functional teams to deliver results
Preferred qualifications Experience with tools for working with big data in a distributed fashion (Spark, Hadoop, etc.
)
Office locations Dublin HQ, Berlin, or London
Remote locations Remote in United Kingdom, or Germany
Team Data & Data Science
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