🛠 Tech Stack

💼 About This Role

You'll partner with teams across Stripe to build models, data products, and insights that drive decisions and growth. Your work will influence products, business strategy, and go-to-market operations. Machine learning and causal inference are key tools in your toolkit.

🎯 What You'll Do

• Build machine learning and statistical models
• Design and analyze experiments
• Collaborate with cross-functional teams
• Synthesize complex analyses into actionable recommendations

📋 Requirements

• PhD + 3 years or MS + 6 years or BS + 8 years of experience in data science
• Proficiency in SQL and Python or R
• Hands-on experience with machine learning, statistics, optimization, or causal inference
• Experience working with cross-functional teams

✨ Nice to Have

• Experience deploying models in production
• Experience with Spark, Hadoop, or similar distributed tools
• PhD or MS in a quantitative field

🎁 Benefits & Perks

• 🏖️ Generous PTO
• 🏥 Health insurance
• 💰 Equity
• 📚 Learning budget
• 🌍 Remote work options

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Panel Interviews· 3 hours