Full-Time

Fraud Data Scientist

Posted on 4/27/2024

ID.me

ID.me

501-1,000 employees

Provides digital identity verification services

Financial Services
Data & Analytics
Government & Public Sector
Aerospace

Mid

McLean, VA, USA

Required Skills
Python
Keras
SQL
Pandas
NumPy
Data Analysis
Requirements
  • 2+ years of hands-on experience in fraud analytics or a high-tech mature startup
  • Experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras
  • MS (PHD Preferred) 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
  • Candidates must be located in the continental U.S.
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

ID.me offers a digital wallet and identity verification services, focusing on secure digital identity solutions that meet federal standards for consumer authentication, including NIST 800-63-3 IAL2 / AAL2 conformance. The company's technology is designed to provide secure digital identity solutions and has partnerships across various sectors.

Company Stage

Series D

Total Funding

$413M

Headquarters

McLean, Virginia

Founded

2010

Growth & Insights
Headcount

6 month growth

9%

1 year growth

12%

2 year growth

-3%