FAQs
Do we support remote work?
Yes, we support a balanced hybrid work model, allowing employees to work 3 days in the office and 2 days either in the office or from home.
What qualifications are required for this Data Scientist position?
Candidates should have a Bachelor’s or Master’s degree in Analytics, Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative discipline.
How much experience is needed for this role?
A minimum of 5 years of experience in analyzing multi-dimensional datasets and creating actionable business solutions is required.
What technical skills are necessary for this position?
The role requires strong skills in Python, SQL, and data visualization tools such as Tableau or Qlikview, along with expertise in statistical programming languages like R or Python.
Are there specific technologies that candidates should be familiar with?
Yes, candidates should have demonstrable experience with big data technologies such as Teradata, Hadoop/Hive, and BigQuery.
Will I need to prepare presentations for my findings?
Yes, you will be expected to package insights from analyses into easily consumable presentations and documents.
Is experience in A/B testing important for this role?
Yes, experience with A/B Testing, analytics, market research, usability studies, and competitive analysis is important to drive decision-making.
What kind of team environment can I expect?
You will be part of a collaborative team that partners closely with product teams and various internal stakeholders to address analytic needs.
Is there an emphasis on diversity and inclusion at PayPal?
Yes, PayPal is committed to diversity and inclusion and strives to create a workplace where all employees feel accepted and valued.
Are there benefits for employees at PayPal?
Yes, PayPal offers benefits including a flexible work environment, employee share options, health and life insurance, and resources to support financial, physical, and mental health.