Heading
Seattle, WA
Internship
Hybrid
$64K/yr - $83K/yr
Intern
GeoComply provides fraud prevention & advanced geolocation solutions to detect location fraud & help verify a user's true digital identity. As a Data Scientist Intern, you will develop and implement machine learning models to combat location spoofing, conduct statistical analyses, and collaborate with cross-functional teams to enhance the company's fraud detection capabilities.
Apply NowResponsibilities
- 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
Qualification
Required
- 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
- Excellent organization, prioritization, and time management skills
- High integrity and confidentiality of sensitive, complex information
- Ability to interpret data into simple, intuitive information
- Keen eye for detail and comfortable working with granular details
- Ability to communicate effectively, whether written or verbal
- Capable of assessing issues and initiating actions without waiting
- Strive to achieve for the top in everything you do
- Recognize that we do our best work when everyone feels accepted and included
- Primary objective is to work with others to achieve common goals
- Knowledge of or experience with Python (especially libraries like scikit-learn, pandas, and numpy), SQL, PySpark, machine learning algorithms, and statistical modeling
Preferred
- Publications or research experience in fraud detection or anomaly detection
- Experience working in fraud detection
Benefits
- Diversity, equity, and inclusion are at the core of who we are
- Learning is at the heart of our employee experience
- We believe in being a force for good
- We care about our team