🛠 Tech Stack

💼 About This Role

You'll be the founding Data Scientist for a fintech initiative, designing core data science strategy for underwriting, fraud detection, and risk modeling. You'll own machine learning models that directly influence financial decisions for global app revenue streams. Collaborate with Product and Engineering to embed risk intelligence into production systems.

🎯 What You'll Do

• Own data science strategy for underwriting and fraud detection systems.
• Build and maintain machine learning models for financial risk assessment.
• Develop anomaly detection systems to safeguard financial transactions.
• Partner with Product and Engineering to integrate risk signals into workflows.

📋 Requirements

• 5+ years experience in data science, ideally in fintech or risk-intensive domains.
• Strong expertise in fraud detection, underwriting, or risk modeling.
• Advanced proficiency in SQL and Python with production ML experience.
• Strong understanding of statistical modeling and machine learning techniques.

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products.
• Experience deploying and monitoring production ML models.

🎁 Benefits & Perks

• 📈 Competitive equity in a Series C-backed organization.
• 🏠 Fully remote work environment.
• 🏖️ 4-5 weeks recommended annual time off.
• 💻 $2,000 home office setup allowance.
• 📚 $1,000 annual learning and development stipend.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min