🛠 Tech Stack

💼 About This Role

You'll be the founding Data Scientist for a fintech initiative, designing the core data science strategy for underwriting, fraud detection, and risk modeling. Your models will directly influence real financial decisions tied to global app revenue streams. This role offers a chance to scale innovative financial products for mobile developers in a high-growth environment.

🎯 What You'll Do

• Define data science strategy for underwriting and fraud detection systems.
• Build and validate 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 decision engines.

📋 Requirements

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

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products.
• Experience with financial decision systems.
• Ability to operate independently in ambiguous environments.

🎁 Benefits & Perks

• 📈 Competitive equity in a Series C-backed company.
• 🏠 Fully remote and flexible work environment.
• 🌴 4-5 weeks of recommended annual time off.
• 💻 $2,000 USD home office setup allowance.
• 📚 $1,000 USD 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. 3Hiring Manager Interview· 45 min