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Senior Fraud Data Scientist
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As a key member of our team, you will contribute to the development and maintenance of data-driven solutions that drive business insights. This role is ideal for individuals with a strong background in analytics, data science, and machine learning.
The successful candidate will have a passion for fraud risk management and a desire to make a meaningful impact on our business.
Key Responsibilities- Data Analytics & Business Insights
- Analyze large datasets to identify trends and patterns.
- Develop predictive models using machine learning algorithms.
- Presentation of information using data visualization techniques.
- Monitor fraud trends and develop strategies to manage emerging threats.
- Optimize database systems for improved performance.
- Collaborate with cross-functional teams to achieve business objectives.
To be considered for this role, you must have:
- A Master's degree in Statistics, Economics, or Engineering, or equivalent experience.
- Strong knowledge of Python, R, SQL, MS Excel, and SQL database coding.
- At least a bachelor's degree in Mathematics, Computer Science, Engineering, Economics, or Statistics.
