PayPal Hiring For Data Scientist

PayPal hiring for Data Scientist Role for B.E / B.Tech / M.E / M.Tech graduates and any batch graduates are eligible. PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

Company Name	PayPal
Post Name	Data Scientist
Qualification	Bachelor’s Degree
Branch	Any Branches
Batch	Recent Batches
Salary	Up to 10 LPA
Experience	Fresher / Experience
Job Location	India

Job Description :

This role is of a Product Data Scientist will be on the Onboarding Analytics team supporting the Consumer Onboarding and Early Life Engagement Team. You will partner with Product & Engineering to enable data driven decision making to boost PayPal’s new user growth.

Role and Responsibility :

Partner closely with Product Managers to understand new product offerings being built and recommend the right metrics to measure the performance of those features that improve new user growth & early life success.
Conduct rigorous explorative data analysis, hypothesis testing and build business cases that drive decision making and business prioritization.
Design and conduct analysis on AB Tests that inform of feature performance across signup flows and early life.
Analyse consumer signup flows & feature interaction, to identify opportunities and generate insights on improving flow conversions and product usage.
Partner with BI & Engineering teams to create comprehensive dashboard that enable KPI tracking informing on product health.

Qualifications :

Strong SQL skills and visualization skills with a lot of attention to granular details in data
Strong product sense, the ability to analyse funnels, key business trends and understand impacts of drivers on funnel conversion and feature usage.
Ability to package the insights into easily consumable presentations and documents.
Ability to independently design, conduct and analyse AB Tests & experimentation.
Expertise on creating and automating dashboards on Tableau, Amplitude etc.
Understanding of the basics of Probability & Statistics.

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