Company OverviewID.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.
Role OverviewWe are seeking a Fraud 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.
ResponsibilitiesPartner with fraud leadership and fraud investigators to develop our fraud strategyDesign experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive ratesLeverage data analytics to evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me networkRespond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teamsRecommend and build automated rules and models to support the detection and prevention of fraudulent activityUse 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 processesBuild strong relationships with key partners and the leadershipQualifications2+ years of hands-on experience in fraud analytics or a high-tech mature startupExperience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, KerasMS 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 librariesExperience in developing, managing, and manipulating large, complex datasetsData-driven, detail-oriented individual with excellent storytelling and problem-solving abilitiesAbility to work independently and autonomously, as well as part of a teamSuperb time management, prioritization of tasks and ability to meet deadlines with little supervisionNote that candidates must be located in the continental U.S.
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