Data Scientist, Risk UX in Constanţa

UX (advanced) SQL (advanced) Python (advanced) React (advanced) Who we areAbout StripeStripe 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 doWe are looking for a talented data scientist to partner with the Risk UX team. You’ll 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!ResponsibilitiesAct as an embedded partner to the Risk UX team, helping them to identify and answer questions with data and modelingCreate analyses that tell a story focused on actionable insights, not just dataBuild statistical and/or machine learning models to quantify user frictionAnalyze user survey results at a large scaleUse data, experiments, statistical inference to measure UX improvementsBuild and improve data ETL pipelines to collect new data and refine existing data sourcesWho you areWe’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 requirementsA 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 impactExpert knowledge of a scientific computing language (such as R or Python) and SQLStrong knowledge of statistics, machine learning and optimizationExperience working with multiple cross-functional teams to deliver resultsPreferred qualifications Experience with tools for working with “big data” in a distributed fashion (Spark, Hadoop, etc.)Experience applying Natural Language Processing techniques to large datasetsOffice locationsDublin HQ, Berlin, or LondonRemote locationsRemote in United Kingdom, or GermanyTeamData & Data ScienceJob typeFull timeApply for this role Please find our EU applicant personal information notice hereWe look forward to hearing from youAt Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.