[{"Id1":"13248","Id":"AXVkJfrjwpsbakam","JobTitle":"Data Analyst","JobCategory":null,"Vacancies":1,"SalaryMax":"0.0000","SalaryMin":"0.0000","ExperienceMonth":6,"ExperienceYear":4,"Deadline":"09-05-2025 00:00:00","Tag":"\"Strong proficiency in Python for machine learning model development, data analysis, and statistical analysis. Extensive experience with SQL for building and optimizing data pipelines and feature stores. Proven experience in developing credit risk models, fraud detection models, and recommendation systems within the lending or financial services industry. Hands-on experience with graph databases (e.g., Neo4j) for fraud detection and relationship-based data modeling. Experience with Amazon SageMaker for deploying machine learning models in a scalable, production-ready environment. Familiarity with Amazon Redshift or other data warehousing solutions for high-performance data processing. Exposure to Amazon Personalize or similar recommendation engine tools is a plus.\"","Description":"logo245843.jpeg","DateCreated":"Oneture Technologies","Active":false,"JobType":0,"Responsibility":null,"Eduction":null,"Location":"Mumbai, Maharashtra","subCategory":"Data Analyst","MetaUrl":"Data-Analyst","MetaTitle":null,"MetaDescription":"\u003cspan data-sheets-root=\"1\" style=\"color: rgb(0, 0, 0); font-size: 10pt; font-family: Arial;\"\u003eWe are seeking an experienced Senior Data Scientist with a strong background in building credit models, fraud detection algorithms, and recommendation engines within the lending industry. The ideal candidate will have hands-on experience in developing scalable machine learning solutions using advanced algorithms such as Regression, XGBoost, ANN (Artificial Neural Networks), and Graph Databases (e.g., Neo4j). Knowledge of industry-specific challenges and practices, particularly in credit risk modeling and fraud detection for lending, will be crucial. The candidate should also be proficient in utilizing Amazon SageMaker for model deployment and have experience with Amazon Redshift for data warehousing. Experience with Amazon Personalize for recommendations is a plus. This role requires both technical expertise and leadership abilities to manage a team of data scientists and work closely with stakeholders to deliver business-driven machine learning solutions.\u003c/span\u003e","MetaKeywords":null}]
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