🛠 Tech Stack

💼 About This Role

You'll build models for pricing, resale strategy, and risk management at a high-stakes, low-margin business. Your work will directly impact real-world decisions on demand modeling and optimization. You'll join a small, nimble team where you can shape both modeling direction and production implementation.

🎯 What You'll Do

• Build models for pricing, resale strategy, and portfolio risk
• Develop demand and conversion models using pre/post-listing signals
• Design optimization frameworks balancing margin, conversion, and risk
• Design experiments to quantify price elasticity and customer response

📋 Requirements

• Experience developing quantitative models for decision-making under uncertainty
• Strong coding skills in Python with production-quality implementation
• Experience with causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Advanced degree (MS or PhD) in a quantitative discipline

✨ Nice to Have

• Experience in pricing, marketplace modeling, or revenue management
• Background in real estate, housing, or finance
• Familiarity with distributed data processing tools such as Pyspark

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Medical/dental/vision insurance
• 📈 401(k) plan
• 💰 RSUs

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min