Data Scientist 1

What you need to know about the role

We are looking for a strong Data Scientist who is experienced at supporting new product launches and optimization through experimentation

Meet our team

The Shopping & Loyalty team is passionate about making PayPal the most rewarding way to pay. We are in the journey of building a global loyalty program that aims to drive customer engagement, loyalty and PayPal selection rate. You will be part of a team that supports the global expansion and measurement of the program.

• You are curious and inquisitive: love digging into data and uncovering insights
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
• You are familiar with data science and machine learning techniques to improve product experiences
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-pace environment, and can deliver successful results with minimal guidance
• You are a fun-loving, adventurous team player

• Support new product launches by designing and conducting experiments that drive rapid iteration of the product
• Perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
• Make data visually appealing and simple to both navigate and comprehend for end-users
• Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making
• Engage in problem solving with Product, Finance, Marketing, and various other teams to determine performance trends and root causes.
• Establish close relationships with stakeholders to anticipate & answer questions that might be asked by executives

• B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
• 4+ year of data science, analytics, or consulting experience
• Hands-on experience in designing and evaluating complex A/B test
• Understanding of hypothesis testing and causal inference analysis
• Experience influencing product strategy through analyses and data-centric presentations
• Experience with at least one querying language (e.g. SQL) and/or one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets
• Strong interpersonal and communication skills
• Ability to act as a thought partner and interact cross-functionally
• Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus

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