🛠 Tech Stack

💼 About This Role

You'll develop and implement advanced fraud detection models at Oscilar, building the ML stack for an AI Risk Decisioning platform. Your work will make the internet safer by protecting online transactions. You'll collaborate with industry veterans from Meta, Uber, and Citi.

🎯 What You'll Do

• Develop and implement advanced fraud detection models using ML and statistics.
• Collaborate with engineering, product, and operations to design fraud detection systems.
• Analyze large data volumes to identify patterns and anomalies indicative of fraud.
• Evaluate and optimize existing fraud detection models to adapt to changing fraud trends.

📋 Requirements

• 3+ years of experience in data science with a focus on fraud prevention.
• Proficiency in Python.
• Experience with large datasets using Apache Spark or Dask for data processing.
• Strong knowledge of machine learning algorithms for fraud detection.

✨ Nice to Have

• Experience in fintech, marketplaces, or financial services industry.
• Knowledge of current fraud tactics and fraud detection tools.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 100% employer-covered health, dental, and vision insurance (US)
• 💰 Competitive salary and equity packages including 401k
• 🏡 Remote-first culture — work from anywhere
• 📈 Unparalleled learning and professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 45 min