Data Scientist
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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
Complete Job Description
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