Navan · 1 day ago
Staff Data Scientist, Fraud
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expNavan is expanding its Fraud Risk Management organization to build world-class fraud detection, prevention, and analytics capabilities. The Staff Data Scientist, Fraud will design and scale advanced data science solutions to protect Navan’s customers and financial ecosystem while collaborating with cross-functional teams to mitigate emerging fraud threats.
Business TravelFinancial ServicesPaymentsSoftware
Responsibilities
Lead the design and deployment of advanced ML features, build rule workflows to detect and prevent fraud across travel and expense
Lead the design and development of advanced ML and statistical models to detect, predict, and prevent fraudulent behavior across onboarding, payments, and expense workflows
Drive applied research in anomaly detection, network/graph modeling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings
Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions
Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimization
Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite
Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal
Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics
Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility
Contribute to the overall fraud strategy roadmap, helping evolve Navan’s machine learning and analytics capabilities to stay ahead of emerging fraud trends
Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall
Qualification
Required
10+ years of experience in data science strategy, with a strong focus on fraud detection, risk modeling, or financial crime analytics
Deep technical expertise in machine learning, predictive modeling, anomaly detection, and network analysis applied to fraud problems
Proficiency in Python, SQL, and modern ML libraries
Experience with large-scale data environments such as Snowflake, Databricks, Spark, or equivalent big data platforms
Strong understanding of payment processing, card networks, identity verification, and behavioral fraud typologies (e.g., synthetic identities, ATO, friendly fraud, first-party fraud, third-party fraud, scams)
Demonstrated success in developing and deploying ML models in production, including monitoring and score drift management
Proven ability to communicate complex data science findings to technical and non-technical audiences, including executives
Experience collaborating in cross-functional teams that include Product, Engineering, and Fraud Operations
Master's or PhD in Computer Science, Statistics, Applied Mathematics, or related quantitative field
Preferred
Familiarity with fraud detection tools, rule engines, and streaming data systems is a plus
Company
Navan
Navan provides travel, expense, and corporate card management to automate manual processes and drive spend visibility.
1001-5000 employees
H1B Sponsorship
Navan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (22)
2023 (38)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Goldman Sachs Bank USACoatueGreenoaks
2025-10-30IPO
2025-04-07Convertible Note
2022-12-08Debt Financing· $400M
Leadership Team
Ariel Cohen
CEO and Co-Founder
Carlos Avelar
Account Executive
Recent News
PhocusWire
2026-01-03
2025-12-24
Company data provided by crunchbase