Data Scientist, AI Solutions

Responsibilities

• Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for core solution modules including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.
• Mine the Global Consortium: Analyze large-scale, cross-industry data within the global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming insights into deployable features.
• Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring protection against known threats before historical data integration.
• Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for the AI-driven strategy engine, rigorously testing and validating automated fraud detection logic for safety, transparency, and low false positive rates.
• Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing statistical rigor to turn experimental concepts into production-grade features.

Requirements

• Education: MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
• Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
• Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).

Preferred Qualifications

• Experience with graph theory or link analysis for detecting network-based fraud.
• Familiarity with unsupervised learning techniques or anomaly detection.
• Previous experience working in a high-growth SaaS or Fintech environment.
• Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).

Compensation & Benefits

• Salary ranges between USD 120,000 and 170,000.
• Total compensation includes base salary, performance bonuses, and equity options.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement savings plan available.
• Flexible Time Off (FTO) plus paid holidays.
• Opportunities for research, development, and professional advancement.
• Regular team-building events in a collaborative and innovative work environment.