Job Id: 20200828005
Job Role: Data Scientist-2
Experience: 4+ Years
Qualification: Advance degree (MS or PhD) in science or engineering field
Job Location: Chennai
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Paypal Job Openings in Chennai Hiring for Data Scientist in August 2020:
Lead Data Scientist as part of the Credit Data Science team based in Chennai. Primary responsibility to build underwriting and related models for PayPal’s credit business covering multiple geographies and products.
Role and responsibilities
Work with business partners and stake holders to understand the business, formulate the problems, come up with the solutions and communicate them back effectively to non-technical audience.
Lead complex, multifunctional data science projects
Design, develop and implement real-time, highly complex advance machine learning models to solve credit business problems (demand generation, marketing, fraud, credit, account management and collections)
Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop and SQL
Collaborate with engineers to implement models on one of the best data platforms in the industry.
Analyze data to identify trends, perform root cause analysis and test hypotheses.
Communicate complex concepts and the results of the models and analyses to technical and non-technical audience
Mentor and grow junior data scientists
Advance degree (MS or PhD) in science or engineering field with 4+ years of relevant experience
Strong problem-solving and communication skills
Proven track record of building and implementing machine learning solutions
Experience in leading cross-functional, highly complex Data Science projects
Data Mining experience in Python, R, H2O and/or SAS. Familiar with various Machine Learning algorithms and Statistical methods
Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation.
Ability to deal with large amount of data and fluency with SQL or SQL-like tools.
Financial services or eCommerce experience a big plus
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