Summer 2027 - Data Scientist (New Grad)

ID.me is a digital identity company focused on helping individuals securely prove their identities online. The Data Scientist will partner with fraud analytics, investigations, product, and engineering teams to identify fraud patterns, develop machine learning solutions, and improve fraud detection and digital identity protection.

What you'll do:

• Collaborate with leadership and investigators to shape fraud prevention strategies
• Design experiments, test hypotheses, and analyze fraud patterns to improve detection accuracy
• Build models, rules, and dashboards to detect fraud with minimal false positives
• Respond to fraud attacks by rapidly developing monitoring tools and scalable solutions
• Leverage member interaction data to identify signs of stolen PII, account takeover, and social engineering attempts
• Establish monitoring frameworks to track and improve fraud detection processes
• Partner across teams to ensure insights drive both immediate fraud response and long-term prevention

What they're looking for:

• * Graduating in May/ June 2027
• * Pursuing a Master's degree in Data Science, Applied Mathematics, Statistics, Computer Science, or related quantitative field
• * Strong technical skills in Python, SQL, and data analysis libraries (pandas, numpy, scikit-learn)
• * Familiarity with machine learning methods such as decision trees, ensemble models, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
• * Experience working with large datasets through coursework, research projects, or internships
• * Data-driven thinker with excellent problem-solving skills and the ability to communicate insights clearly
• * Excited to apply advanced analytics to real-world challenges in fraud prevention and digital security

Benefits:

• Work alongside experienced data scientists, fraud investigators, and finance/tech leaders.
• Build hands-on expertise in machine learning, fraud analytics, and financial services data science.
• Thrive in an innovative environment where cross-functional teamwork drives results.
• Opportunities for mentorship, collaboration, and long-term career development.