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Essential Responsibilities:
Minimum Qualifications:
Preferred Qualification:
Academic Qualification:
Undergraduate degree in a quantitative (such as Applied Mathematics, Statistics, Engineering or Computer Science) fieldrequiredand 5+ years related professional experience or Graduate degree in a quantitative field and 3 + years of professional experience
Must-have skills:
in languages used for querying (e.g.SQL/Hive/Pig), preprocessing (e.g.Unix/Python), and statistical analysis (e.g.Python/R)
Strong data visualization skills with tools such as Tableau and Looker with a lot of attention to granular details in data
Good verbal and written communication skills to express data science concepts and solutions to business partners of varying technical levels and other members of the broader analytics and data science community at PayPal, to influence and negotiate to reach alignment on how to execute strategies and improve solutions.
Nice-to-have:
Experience with machine learning algorithms and statistical methods
Knowledge about Digital Marketing, AdTech,MarTech,E-commerce, FinTech, Finance and Payments industries is a strong plus
Our Benefits:
Any general requests for consideration of your skills, please
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