The board
- Where
- Mountain View, CA
- Posted
- Sep 8
Join ID.me as a Data Scientist and put your analytical skills to work protecting millions of people from online fraud. In this role, you’ll partner with our Fraud Analytics, Investigations, Product, and Engineering teams to uncover fraud patterns, design machine learning solutions, and develop strategies that safeguard digital identities across our network. This is an opportunity for graduate level students (MS) specializing in Data Science, Applied Mathematics, Statistics, or related fields who are eager to apply their skills in a fast-paced, mission-driven environment.
This role is based out of our Mountain View, CA office and requires full-time in-office attendance.
What you'd 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 want
- 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.
- Impactful Mission: Your work will directly protect people from fraud and identity theft.
- Learning & Mentorship: Work alongside experienced data scientists, fraud investigators, and finance/tech leaders.
- Career Launchpad: Build hands-on expertise in machine learning, fraud analytics, and financial services data science.
- Collaborative Culture: Thrive in an innovative environment where cross-functional teamwork drives results.