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Product Data Scientist, Fop Optimization

Important Company of the Sector

India₹60,000–₹200,000/moAED 2.6K-8.8K/moToday
IndiaStatisticsMathematicsData ScienceEngineeringPhysicsEconomicsPythonRSQLProduct AnalyticsFull Time

Skills Required

PythonSqlMachine Learning

Job Description

Job Description As a Product Data Scientist for FOP Optimization at Confidential company, you will play a crucial role in shaping Payments products and solutions by providing quantitative support and a strategic perspective to partners across the organization. Your primary responsibility will be to lead a critical part of the payments routing infrastructure, Smart Router, which leverages machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. Your role will involve driving analytics for form of payment (FOP) optimization, building on success metrics, generating insights, and supporting global launches. Key Responsibilities: - Provide quantitative support and a strategic perspective to partners across the organization - Lead the development and optimization of the payments routing infrastructure, Smart Router - Utilize machine learning and AI to process first-party transactions across multiple platforms - Drive analytics for form of payment (FOP) optimization - Generate insights and recommendations to support global launches Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience - 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree - Experience in product analytics within payments, e-commerce, or financial services - Ability to take initiative in unstructured environments with a bias for action and sharp attention to detail (Note: Preferred qualifications and additional details about the company were not included in the provided job description) As a Product Data Scientist for FOP Optimization at Confidential company, you will play a crucial role in shaping Payments products and solutions by providing quantitative support and a strategic perspective to partners across the organization. Your primary responsibility will be to lead a critical part of the payments routing infrastructure, Smart Router, which leverages machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. Your role will involve driving analytics for form of payment (FOP) optimization, building on success metrics, generating insights, and supporting global launches. Key Responsibilities: - Provide quantitative support and a strategic perspective to partners across the organization - Lead the development and optimization of the payments routing infrastructure, Smart Router - Utilize machine learning and AI to process first-party transactions across multiple platforms - Drive analytics for form of payment (FOP) optimization - Generate insights and recommendations to support global launches Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience - 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree - Experience in product analytics within payments, e-commerce, or financial services - Ability to take initiative in unstructured environments with a bias for action and sharp attention to detail (Note: Preferred qualifications and additional details about the company were not included in the provided job description)