Senior Data Scientist - Fraud

Company Overview

ID.me is a high-growth enterprise software company that simplifies how people prove and share their identity online.  The company empowers people to control their data through a portable and trusted login, which means they don’t need to create a new password when visiting sites that have the ID.me button.  ID.me’s digital identity network has over 117 million registered members, and is used by fourteen federal agencies, agencies in 30 states and over 600 corporations for secure identity proofing and verification.

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. In addition to helping people control their credentials and data, the company’s “No Identity Left Behind” initiative strives to expand digital access and inclusion for all people. The company offers multiple pathways to identity verification – online self-serve, live video chat agents, and in person.  ID.me is passionate about building a robust identity network that does not compromise access for traditionally underserved groups.

ID.me has received numerous awards including Deloitte’s 2023 Technology Fast 500, Washington Business Journal’s Fastest Growing Companies, Entrepreneur Magazine’s 100 Brilliant Companies and Wall Street Journal’s Startup of the Year finalist.  In recent quarters, ID.me announced it raised $132 million in Series D funding, led by Viking Global Investors with participation from CapitalG, Morgan Stanley Counterpoint, FTV Capital, PSP Growth, Auctus Investment Group, Moonshots Capital, and Scout Ventures. ID.me’s most recent round brings the total investment in ID.me to over $275 million since its founding in 2010.

Job Location: Mountain View CA or McLean, CA 

Work from office 2-3 days/week

 

Overview

 

We are seeking a talented Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me’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.

 

Responsibilities

• 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 evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me 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 ID.me network to identify the use of stolen Personal Identifiable Information (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

 

Qualifications

• MS (PHD Preferred) in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related)
• 4+ years of hands-on experience in Data Science and using/building Machine Learning models.
• Experience in developing, managing, and manipulating large/complex datasets
• Experience with deep learning frameworks, ie. any of the following: Tensorflow, Scikit-learn, Pytorch, MXNet, Keras
• Solid coding skills with SQL and Python
• Experience with the ML ecosystem, i.e. pandas, numpy, sklearn, or related.
• Experience in Fraud a plus.
• 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
• Note that candidates must be located in the continental U.S.

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The annual base salary listed below for this role is based on experience, skills, education, relevant training and geographic location. Company bonus, incentive for sales roles, equity, and benefits are available depending on the role.

ID.me offers comprehensive medical, dental, visio