Summer 2027 - Data Scientist (New Grad)
idmeuniversityrecruiting
Mountain View, CA
Posted Sep 8, 2026
- Other
- Data
Job description
## **Company Overview**
is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use to verify communities and user segments to honor service and build more authentic relationships. ’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. is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.
At , we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found [here](https://insider.id.me/candidate-ai-use-in-interviewing/).
**Overview**
Join 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’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 We’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.
**Why
- **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.
- **In-Office Growth:** This role is in-office, five days a week (Mountain View, CA), providing opportunities for mentorship, collaboration, and long-term career development.
**This role is designed for graduate students who want to apply their data science and quantitative skills to one of the most pressing challenges in tech: preventing fraud and protecting digital identities.**
maintains a work environment free from discrimination, where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling our commitment to equal employment opportunity. does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, 's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.
Please review our Privacy Policy, including our CCPA policy, at[](https://insider.id.me/privacy/). If you provide with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.
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