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GeoComply
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April 17, 2025
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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.
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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

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
GeoComply provides fraud prevention & advanced geolocation solutions to detect location fraud & help verify a user's true digital identity.
Glassdoor
3.1
Founded in 2011
Vancouver, British Columbia, CAN
201-500 employees
https://www.geocomply.com
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