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Data Scientist 1

4.00 to 8.00 Years   Chennai   26 Apr, 2024
PayPal
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryBFSI
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Job Description Summary:What you need to know about the role- As an individual contributor in Fraud Risk Business Intelligence team, you will be responsible for measuring key risk metrics for the company. You will get exposure to solving complex problems in big data environment, create models, and use data to provide meaningful insights. This is a great opportunity to be part of critical business decisions being made and delight our customers with the best experiences. Meet our team Business Intelligence team within Global Financial Crimes and Customer Protection organization caters to all risk related analytical needs for the organization. We enable business to take informed data driven decisions. We collaborate with a wide variety of partners in the company, including product experts, risk management specialists and finance specialists to bring our analytical insights to life, impacting the experience and security of millions of users around the globe.Your way to impact:Your day to day:In your day to day role you will: Dive into extensive datasets, defining, and tracking essential KPIs to drive actionable insights for informed business decisions. Create predictive models to forecast risk metrics, employing a blend of statistical methodologies and cutting-edge Machine Learning techniques. Architect and oversee the entire data infrastructure lifecycle, ensuring seamless automation of processes from end to end , ensuring efficiency and accuracy. Lead or participate in ad-hoc projects and initiatives related to risk management, leveraging data-driven approaches to address specific business challenges or opportunities. Collaborate with leaders and stakeholder across departments.What do you need to bring: 4 years of overall experience Demonstrate proficiency in analytical skills, with expertise in SQL and Excel. Preference for candidates with a strong aptitude for number crunching and a coding mindset. Comfortable with basic statistics; experience in constructing ML models and developing end-to-end model pipelines is a plus. Exhibit critical and analytical thinking, with a focus on problem-solving and attention to detail.Our Benefits:Who We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxREQ ID Rhidden_mobile,

Keyskills :
SQLExcelMachine LearningRisk ManagementAnalytical SkillsStatistical Methodologies

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