ID.me

About the Company

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly sign in across websites without having to create a new sign-in and verify their identity again. Over 144 million users experience streamlined sign-in and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/

Listed Jobs

Company Name

ID.me

Job Title

Fraud Data Scientist

Job Description

**Job title:** Fraud Data Scientist **Role Summary:** Apply advanced analytics and machine learning to detect, analyze, and prevent fraud within a digital identity platform. Collaborate with fraud leadership, investigators, engineering, product, and customer success to develop data‑driven fraud strategies, experiments, and automated detection rules. **Expectations:** * Deliver high‑quality insights and models that reduce fraud while minimizing false positives. * Work independently while coordinating across cross‑functional teams. * Meet project deadlines and iterate rapidly on monitoring frameworks and dashboards. **Key Responsibilities:** * Partner with fraud leadership and investigators to define fraud strategy. * Design experiments, test hypotheses, and analyze fraud patterns for low‑error detection. * Evaluate, recommend, and manage fraud prevention strategies using data analytics. * Build fraud monitoring frameworks, dashboards, and real‑time solutions. * Develop automated rules and predictive models for fraud detection. * Utilize member interaction signals to identify stolen PII, social engineering, and account takeover. * Establish robust monitoring for automated and manual fraud processes. **Required Skills:** * 2+ years of fraud analytics or high‑tech startup experience. * 1+ year hands‑on with deep‑learning frameworks (TensorFlow, PyTorch, Keras, MXNet). * Proficiency in SQL and Python ML stack (pandas, numpy, scikit‑learn). * Experience with time‑series prediction models and large dataset manipulation. * Strong analytical, storytelling, and problem‑solving abilities. * Excellent time management, prioritization, and independent work ethic. **Required Education & Certifications:** * Master’s degree in a quantitative field (Computer Science, Engineering, Mathematics, Operations Research, Physics, Statistics, or related). ---

Mountain view, United states

On site

Junior

09-02-2026