🛠 Tech Stack

💼 About This Role

You'll be the founding Data Scientist owning the data science strategy for underwriting, fraud detection, and risk modeling at a fintech startup. Your work will directly influence real financial decisions tied to global app revenue streams. You'll collaborate with Product and Engineering to embed data-driven risk intelligence into production systems.

🎯 What You'll Do

• Define data science strategy for underwriting, fraud, and lead qualification.
• Build and validate machine learning models for financial risk assessment.
• Develop anomaly detection systems for fraud prevention.
• Partner with Product and Engineering to integrate risk signals into decision engines.

📋 Requirements

• 5+ years experience in data science in fintech or risk-intensive domains.
• Strong expertise in fraud detection or risk modeling.
• Advanced proficiency in SQL and Python.
• Experience building and monitoring production ML models.

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products.
• Proven ability to operate independently in ambiguous environments.

🎁 Benefits & Perks

• 💰 Competitive equity in Series C-backed company.
• 🏠 Fully remote work environment.
• 🌴 4-5 weeks recommended annual time off.
• 🖥️ $2,000 home office setup allowance.
• 📚 $1,000 learning and development stipend.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site/Team Interview· 90 min