Senior Data Scientist

🔥 6 minutes ago

🏄 California – Remote

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💵 $152.5k - $205k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of Circle

Circle

501 - 1000 employees

💳 Fintech

₿ Crypto

🌐 Web 3

Fintech • Crypto • Web 3

Circle is a financial technology company that focuses on utilizing blockchain technology to enable seamless, faster and secure transactions. Their main product, USDC, is a stablecoin designed to provide stability by being fully reserved and redeemable 1:1 for US dollars, and is widely used in global transactions to facilitate cross-border payments, crypto capital markets, and global dollar access. Circle offers an open developer platform that allows businesses to integrate blockchain functionalities such as programmable wallets and smart contracts into their applications. The company is committed to transparency and publishes regular reports on their reserve holdings.

📋 Description

• Build and evaluate fraud models for onboarding, login, account changes, and money movement • Target risks including account takeover, scams, money mules, and stolen and synthetic identity • Evaluate third-party risk signals and design the transition from vendor models to Circle models, from shadow mode to production • Define label taxonomy and data requirements with Fraud Operations and Risk Engineering • Design holdout and exploration sampling to measure false negatives and wrongful blocking of good customers • Track fraud rate, dispute rate, fraud loss rate, and precision across customer segments • Help set thresholds against an agreed loss budget • Work with Fraud Strategy to tune thresholds and rules and respond to emerging attacks • Backtest, monitor drift, and retrain models on Circle’s fraud platform • Help build AI agent workflows for transaction review, fraud-ring analysis, and rule drafting • Evaluate AI agent workflow accuracy against human labels • Work with Fraud Strategy, Fraud Operations, Risk Engineering, and Compliance

🎯 Requirements

• 5+ years in data science or applied ML on fraud, risk, or financial crime • Advanced Python and SQL • Experience with XGBoost, LightGBM, or similar • Experience building models with sparse, delayed, or biased labels, including cold start, reject inference, and chargeback lag • Strong statistics, including anomaly detection, graph or network methods, experimentation, and threshold optimization • Experience taking models to production and monitoring them • Clear communication with technical and non-technical partners • Comfort working through ambiguity and limited historical data • Preferred: fintech, payments, crypto, or card fraud experience, including chargebacks and disputes • Preferred: experience with device intelligence, behavioral signals, or consortium data • Preferred: familiarity with blockchain analytics, AML, and KYC • Preferred: experience evaluating LLM or agent-based review workflows

🏖️ Benefits

• Flexible work environment • Inclusive work environment • Equal opportunity employment • Interview accommodations or assistance for candidates with disabilities

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