Data Scientist PhD Intern – Fingerprint

Data Scientist PhD Intern – Fingerprint

Requirements

• Currently pursuing or recently graduated with a PhD (or Master’s to PhD track) in Computer Science, Statistics, Mathematics, or a related quantitative field of study.
• Have an understanding of web technologies (HTTP, browsers, etc.).
• Experienced with specific ML techniques like clustering, anomaly detection, or classification in previous projects or coursework.
• Experienced working with large datasets (using Python or relevant languages).
• Familiar with SQL and database interaction.
• Comfortable working through new problems for the first time that may not have an obvious or precise answer.
• Excellent communication skills (written and verbal).

Responsibilities

• Dive into large datasets containing diverse device attributes to identify patterns, anomalies, and potential signals for fingerprinting.
• Apply various machine-learning techniques to build and test models for device identification and grouping. Evaluate model performance using appropriate metrics.
• Research new techniques and data sources relevant to device fingerprinting and prototype potential solutions.
• Work alongside data scientists, engineers, and product managers to understand requirements, share findings, and integrate solutions.
• Clearly document your methodologies, analyses, and results. Present findings to the team and potentially wider audiences.

Preferred Qualifications

No preferred qualifications provided.