Data Scientist
Data Scientist
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1 Vacancy
Job Description
In this role you will analyze large and/or complex datasets develop predictive models and derive actionable insights that drive key business decisions.
We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models statistical methods and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.
Key Responsibilities
- Collect clean and analyze large complex datasets from multiple sources.
- Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
- Translatebusiness problems into data-driven solutions with measurable impact.
- Develop and deploy machine learning models to detect predict and prevent fraudulent transactions and behavior patterns.
- Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
- Collaborate with fraud operations engineering and compliance teams to implement real-time fraud detection solutions.
- Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
- Conduct deep-dive investigations into fraud cases creating detailed reports and actionable insights.
- Stay current with emerging fraud techniques industry best practices and data science tools.
Required Qualifications
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics Economics or a related field.
- 10 Years Professional experience in data science.
- 5 Years Proficient in Python SQL SAS and machine learning techniques.
- 5 Years Experience working with large datasets and cloud platforms (e.g. AWS GCP Azure).
- Understanding of supervised and unsupervised fraud detection techniques including anomaly detection behavioral modeling and network analysis.
- 5 Years Experience with visualization tools like Tableau and Power BI.
- 5 Years Experience in responsible use of AI if used in solution design.
- Strong analytical skills and the ability to identify patterns and trends from data.
Strong analytical skills and the ability to identify patterns and trends from data
- Experience working with large datasets and cloud platforms (e.g. AWS GCP Azure).
- Strong understanding of supervised and unsupervised fraud detection techniques including anomaly detection behavioral modeling and network analysis.
- Experience with visualization tools like Tableau and Power BI.
Employment Type
Full-time
Key Skills
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