Stripe - Data Scientist, Payments

• Partnering with engineering and product teams on LPM initiatives • Using machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to inform company strategy, products, and user interactions • Analyzing data, building models, running experiments, and driving impact across products and business operations • PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling • Proficiency in SQL and a computing language such as Python or R • working with cross-functional teams to deliver results • Strong communication • with a focus on driving impact • Ability to manage multiple projects with high attention to detail • Strong business acumen and • synthesizing complex analyses into actionable recommendations • Proficiency with AI tools to accelerate model development, analysis, and coding Preferred: • Strong knowledge in machine learning, statistics, optimization, product analytics, causal inference, and experimentation • deploying models in production and adjusting thresholds • designing and analyzing complex experiments or using causal inference • Builder's mindset • with distributed tools such as Spark or Hadoop • Advanced degree in a quantitative field • Equity, company bonus, retirement plans, health