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Data Scientist

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Location: Remote
Compensation: To Be Discussed
Reviewed: Thu, Nov 12, 2026
This job expires in: 30 days

Job Summary

To develop and implement fraud detection models, the full-time Data Scientist will work with client data, perform data cleaning and feature engineering, and collaborate with internal teams while communicating findings and contributing to product development.

Key responsibilities
  • Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models
  • Collaborate with internal teams and external stakeholders to understand business objectives and ensure client success
  • Provide technical guidance and contribute to building scalable data pipelines and prototypes
Required qualifications
  • Strong proficiency in Python, including libraries such as NumPy, Pandas, and scikit-learn, as well as experience with PySpark
  • Expertise in machine learning concepts and algorithms
  • Experience with data cleaning, feature engineering, and building scalable data pipelines
  • A degree in a quantitative field like Computer Science, Statistics, or Applied Mathematics
  • Strong analytical skills to tackle complex financial crime challenges

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