Senior Data Scientist (Fraud Analytics)

Location: Remote in the United States of America

Base pay range: $152,500–$205,000 annually

Company

hirify.global is an internet financial platform company building digital-asset, payment, stablecoin, and programmable blockchain infrastructure.

What you will do

• Build and evaluate fraud models for onboarding, login, account changes, and money movement, addressing account takeover, scams, money mules, and stolen or synthetic identity.
• Evaluate third-party risk signals and transition vendor models to hirify.global models from shadow mode through production.
• Define label taxonomies and data requirements with Fraud Operations and Risk Engineering so events, decisions, outcomes, and missed fraud become training data.
• Design holdout and exploration sampling to measure false negatives and incorrectly blocked legitimate customers.
• Track fraud, dispute, fraud-loss, and precision metrics across customer segments and help set thresholds against an agreed loss budget.
• Tune thresholds and rules with Fraud Strategy, respond to emerging attacks, backtest models, monitor drift, retrain models, and help build AI agent workflows for transaction review, fraud-ring analysis, and rule drafting.

Requirements

• 5+ years of experience in data science or applied machine learning focused on fraud, risk, or financial crime.
• Advanced Python and SQL, with experience using XGBoost, LightGBM, or similar tools.
• 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.

Nice to have

• Fintech, payments, crypto, or card-fraud experience, including chargebacks and disputes.
• Experience with device intelligence, behavioral signals, or consortium data.
• Familiarity with blockchain analytics, AML, and KYC.
• Experience evaluating LLM or agent-based review workflows.

Culture & Benefits

• Flexible work environment with an emphasis on visibility and stability.
• Values include high integrity, future forward thinking, multistakeholder collaboration, mindfulness, and excellence.
• Inclusive financial-future mission with transparency as a core principle.
• Equal-opportunity employment and interview accommodations for candidates with disabilities.