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Data Scientist – PhD Intern – Anti-spoofing ML
| Company | GeoComply |
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| Location | Seattle, WA, USA |
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| Salary | $30 – $39 |
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| Type | Internship |
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| Degrees | Master’s, PhD |
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| Experience Level | Internship |
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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.
- Knowledge of or experience with Python (especially libraries like scikit-learn, pandas, and numpy), SQL, PySpark, machine learning algorithms, and statistical modeling.
Responsibilities
- Develop and implement advanced machine learning models to detect location spoofing patterns within large datasets.
- Conduct rigorous statistical analysis to identify anomalies and trends indicative of fraudulent activity.
- Design and execute experiments to evaluate the effectiveness of different ML/AI algorithms.
- Collaborate Cross-Functionally: Work closely with engineer managers, data engineers, and other stakeholders to refine requirements, integrate the model into the ML platform, and make a measurable impact.
- Present findings and recommendations to the team through clear, concise reports and presentations.
- Other Tasks as Assigned: Flexibility is key in a dynamic environment; you’ll help on various projects and initiatives as needed.
Preferred Qualifications
- Publications or research experience in fraud detection or anomaly detection.
- Experience working in fraud detection.
