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Job Type
Full Time -
Experience
4-6 year -
Salary
$72,700 - $176,000 / Year -
Location
San Jose, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Data science techniques, Machine learning techniques, Operations, Project management, Python Programming, SQL, Statistics, Tableau
Job Description
- You believe in data-driven decisions and use data to answer business questions
- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
- You are a highly motivated, result-oriented, enjoy working in a fast-paced environment, and can deliver successful results with required guidance
Your day-to-day:
- Help to launch, measure, and scale new solutions to improve our in app and web experiences
- Identify new opportunities through deep dive analyses leveraging our rich datasets of user behavioral and transactional data
- Translate ambiguous, unstructured business problems into actionable data-driven analyses
- Size potential impact of new ideas and help prioritizing product roadmaps based on impact
- Bring clarity to the performance of our key metrics and flows through well designed dashboards and reports
- Act as thought partner to our product team and lead cross-functional projects (partner teams include product, engineering, design, user research, finance, machine learning, marketing, compliance, risk, customer service/operations)
- Define and cultivate best practices in data logging and experimentation
- Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring:
- Experience influencing product strategy through analyses and data-centric presentations
- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments
- Experience with at least one querying language (e.g. SQL) and one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets
- Strong interpersonal and project management skills, ability to work cross-functionally
- Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus
- Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
- 4+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Experience / interest in Machine Learning preferred
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
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PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$72700 to $176000
Company Info.
PayPalPayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.
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IndustryFinTech
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No. of Employees30,900
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Location2211 North 1st Street, San Jose, CA 95131, USA
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Website
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Jobs Posted