Data Scientist - Fraud

Company Overview

ID.me is a fast-growing enterprise software company focused on simplifying the online identity verification process. Our robust digital identity network allows users to manage their data securely with a single, portable login, eliminating the need for multiple passwords. With over 117 million registered members, ID.me is trusted by 14 federal agencies, agencies in 30 states, and over 600 corporations for secure identity proofing and verification.

Our technology is compliant with federal standards for consumer authentication, as set by the Commerce Department, and is NIST 800-63-3 IAL2/AAL2 approved by the Kantara Initiative. Additionally, through initiatives like "No Identity Left Behind," we are committed to expanding digital access and inclusion for all individuals. We offer various pathways for identity verification, including online self-serve, live video chat agents, and in-person verification.

ID.me has been recognized with numerous awards, such as Deloitte’s 2023 Technology Fast 500 and Washington Business Journal’s Fastest Growing Companies. Recently, we secured $132 million in Series D funding, led by Viking Global Investors, bringing our total investment to over $275 million since our founding in 2010.

Job Description

Overview

We are currently seeking a Fraud Data Scientist to extract critical insights and analyze fraud patterns within the ID.me network. This role involves close collaboration with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product, and Customer Success to implement ID.me’s fraud strategy. If you are data-focused, results-driven, and enthusiastic about solving data-related fraud issues, this could be the perfect role for you.

Responsibilities

• Collaborate with fraud leadership and fraud investigators to develop our fraud strategy
• Design experiments, test hypotheses, and analyze fraud patterns for effective fraud detection with low false positive rates
• Utilize data analytics to evaluate, recommend, and manage fraud strategies to combat fraudulent activities
• Respond promptly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions with cross-functional teams
• Recommend and build automated rules and models to support fraud detection and prevention
• Use data collected from member interactions to identify stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO)
• Establish robust monitoring systems to ensure the effectiveness of automated and manual fraud detection processes
• Build strong relationships with key partners and leadership

Qualifications

• 2+ years of experience in fraud analytics or a similar role in a high-tech startup
• Experience with deep learning frameworks such as TensorFlow, TensorFlow Recommenders, PyTorch, MXNet, and Keras
• MS (PhD preferred) in a quantitative field such as Computer Science, Engineering, Math, Operations Research, Physics, or Statistics
• Proficient in SQL and the Python ML ecosystem—pandas, numpy, sklearn, etc.
• Experience with Time Series Prediction models and one or more deep learning libraries
• Proven track record in developing, managing, and manipulating large, complex datasets
• Detail-oriented and data-driven with excellent storytelling and problem-solving abilities
• Ability to work both independently and as part of a team
• Excellent time management, task prioritization, and ability to meet deadlines with minimal supervision
• Note: Candidates must be located in the continental U.S.

The annual base salary for this position ranges from $135,000 to $160,322 USD, based on experience, skills, education, relevant training, and geographic location. Sunnyvale, CA candidates have a pay range of $162,000 to $192,386 USD. Comprehensive benefits, equity, and incentives are available based on role and performance.

Benefits

ID.me offers a comprehensive benefits package, including:

• Medical, dental, and vision insurance
• Health savings account and 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
• Unlimited paid time off (subject to PTO policy)