Fraud Data Scientist

Company Overview

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with  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  at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations.

More than 600+ consumer brands use  to verify communities and user segments to honor service and build more authentic relationships. ’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.  is committed to “No Identity Left Behind” to enable all people to have a secure digital identity.

To learn more, visit (Use the "Apply for this Job" box below)..

We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the  network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ’s fraud strategy. If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you.

• Partner with fraud leadership and fraud investigators to develop our fraud strategy.
• Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates.
• Leverage data analytics to evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the  network.
• Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams.
• Recommend and build automated rules and models to support the detection and prevention of fraudulent activity.
• Use signals and data collected by member interactions with the  network to identify the use of stolen PII, social engineering, and account takeover (ATO).
• Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes.
• Build strong relationships with key partners and the leadership.

• 2+ years of hands‑on experience in fraud analytics or a high‑tech mature startup.
• 1+ years of experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras.
• MS in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related).

• Experience with SQL & the Python ML ecosystem – pandas, numpy, sklearn, etc.
• Experience with Time Series Prediction models & one or more deep learning libraries.
• Experience in developing, managing, and manipulating large, complex datasets.
• Data‑driven, detail‑oriented individual with excellent storytelling and problem‑solving abilities.
• Ability to work independently and autonomously, as well as part of a team.
• Superb time management, prioritization of tasks and ability to meet deadlines with little supervision.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full‑time in‑office attendance
.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company‑wide holidays, short and long‑term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare…