Senior Data Scientist for Fraud Detection

1 day ago


Bengaluru, Karnataka, India beBeeRisk Full time ₹ 1,54,91,146 - ₹ 2,69,37,222
Job Title: Data Scientist for Risk Management

We are seeking a talented Senior Data Scientist to join our team and help us design, enhance, and build next-generation fraud detection solutions. As a key member of our team, you will be responsible for translating business problems into technical data problems and collaborating with stakeholders to drive solutions that enhance the safety and integrity of our payment ecosystem.

Key Responsibilities:
• Design, enhance, and build next-generation fraud detection solutions in an agile development environment
• Develop ongoing Management Information Systems (MIS) that provide oversight in Visa Ecosystem Risk Programs activity, including trends and discovery tool effectiveness
• Translate business problems into technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders
• Independently manage data science projects with minimal supervision, while collaborating with business and technical stakeholders
• Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
• Build needed data transformations on structured and unstructured data, build and experiment with modeling and scoring algorithms, and devise methods for adaptive learning with controls on effectiveness

Requirements:
• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree
• Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitative field, or equivalent experience with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis
• Relevant exposure to modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, or neural networks
• Expert in leading-edge areas such as Machine Learning, Stream Computing, and MLOps
• Experience with Python and SQL on data and analytics solutions, excellent understanding of algorithms and data structures, and experience with data visualization and business intelligence tools like Tableau or Power BI

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