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PayPal

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3.9

based on 894 Reviews

131 PayPal Jobs

Data Scientist

PayPal Holdings, Inc.

3.9

based on 894 Reviews

4-8 years

₹ 24.3 - 38L/yr (AmbitionBox estimate)

Hyderabad / Secunderabad

1 vacancy

Data Scientist

PayPal

posted 12hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Project Management Linux Administration Data Mining

+ 2 more

Job Description

PayPal s Risk as a Service Data Scientists are comprehensive analytical experts who collaborate with a team of technical and business industry experts, to ensure that their customers are successful in their deployments in catching fraud and malicious activities. They continually improve and apply their technical knowledge and analytical skills across the product suite at every level of the customer.

Your way to impact

As a successful Data Scientist, you will build upon the products and provide subject matter expertise to ensure that they can not only design, implement, and deploy a successful fraud solution, including machine learning models and data analysis, as well as be able to explain and design the solution together with the clients business team, leading to happy customers.

Your day to day

Work closely with multiple large & strategic customers to consult and strategize on the approach in tackling fraud, and ensure Fraud Protection is deployed and performs well
Regularly analyze large data sets to identify fraud patterns and implement necessary changes to the system
Work on top of a state-of-the-art technology stack and together with a dedicated data science and engineering team to design and implement data driven solutions that operate at scale and in real-time
Be a clear subject matter expert of Fraud protection platform as well as developing risk solutions in specific fields (banking, finance, eCommerce)
Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders
Collate feedback from clients and work with cross functional teams to recommend, design and implement new product features
Work with engineering teams to ensure best practices are followed for product deployment and solution implementation

What do you need to bring

Bachelor s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
A minimum of 4 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation or Internet Industry
Experience with Python, SQL
Sound understanding of ML concepts like regression, classification etc

Preferred Experience

MS/PhD Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
Experience in one of the following areas: eCommerce, online payments, user trust/risk/fraud investigation/product abuse
Project Management experience and attention to detail with the ability to gets things done.
Strong process improvement, prioritization, and multi-tasking capabilities
Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact
Knowledge of database structures and/or working with Unix/Linux
Outstanding leadership, influencing, communication, interpersonal and teamwork skills