Data Scientist

Company Overview

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 login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ 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/.

ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

Overview

Join ID.me as a Data Scientist and put your analytical skills to work protecting millions of people from online fraud. In this role, you’ll partner with our Fraud Analytics, Investigations, Product, and Engineering teams to uncover fraud patterns, design machine learning solutions, and develop strategies that safeguard digital identities across our network. This is an opportunity for graduate level students (MS) specializing in Data Science, Applied Mathematics, Statistics, or related fields who are eager to apply their skills in a fast-paced, mission-driven environment.

This role is based out of our Mountain View, CA office and requires full-time in-office attendance.

What You’ll Do

• Collaborate with leadership and investigators to shape fraud prevention strategies.
• Design experiments, test hypotheses, and analyze fraud patterns to improve detection accuracy.