Fraud Data Scientist

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
5-9 years
Karnataka
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

    As a Fraud Data Scientist, you will be responsible for analyzing large datasets and constructing predictive models to detect fraudulent activities. Your primary focus will be on utilizing statistical and machine learning techniques to uncover patterns within fraudulent transactions.

    Your key responsibilities will include working with extensive datasets to pinpoint fraudulent patterns. You will be expected to employ statistical models such as regression (linear, logistic) and clustering (K-means) to achieve this objective. Additionally, you will be required to develop machine learning models like XGBoost and Gradient Boosting Machines (GBM) to forecast fraud based on historical data.

    Furthermore, you will play a crucial role in creating clustering models to group similar behaviors, scoring models to assign fraud risk scores, and propensity models to predict the likelihood of fraud. Proficiency in tools such as Python, SQL, and various modeling techniques will be essential to effectively process and analyze fraud-related data.

    If you have a minimum of 5 years of experience in this field and possess the necessary skills, we invite you to apply for this position based in Bangalore, Hyderabad, or Gurgaon. The ideal candidate should be able to join within a maximum notice period of 15 days. Please send your resume to hidden_email to express your interest in this opportunity.,

Skills

PythonMachine LearningData ScientistSqlRegressionXGBoostPythonGradient Boosting Machines GBMSQLClusteringMachine LearningStatistical Modeling

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