Senior Data Scientist

Global financial technology company that operates an online payments system and digital wallet platform.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Senior Data Scientist

PayPal is seeking a Senior Data Scientist to join their Checkout Analytics team, offering an opportunity to work with one of the world's leading financial technology companies. This role goes beyond traditional data analysis, focusing on extracting meaningful insights from PayPal's extensive data ecosystem. The position requires a blend of technical expertise, leadership capabilities, and business acumen.

The role involves working with PayPal's Consumer Experience and Payment ecosystem, where you'll be responsible for conducting deep-dive analyses, building executive dashboards, and supporting product launches through data-driven decision-making. You'll collaborate with various teams including Risk, Product, and Marketing, making this an excellent opportunity for cross-functional exposure.

As a Senior Data Scientist, you'll be expected to handle large-scale data sets, design experimental frameworks, and translate complex findings into actionable insights. The position requires proficiency in tools like SQL, Python, and BigQuery analytics, combined with strong communication skills to effectively present findings to senior leadership.

This role is ideal for someone who wants to make a significant impact in the financial technology sector while working with cutting-edge data science technologies. The position offers the opportunity to work on meaningful projects that directly influence PayPal's checkout experience, which is central to the company's core business. Your work will directly contribute to improving how millions of people worldwide conduct digital transactions.

Last updated 11 hours ago

Responsibilities For Senior Data Scientist

  • Perform deep-dive analyses on key business trends
  • Create visually appealing and comprehensible data presentations
  • Build exec-facing dashboards to track business progress
  • Identify key business levers and establish cause & effect
  • Problem-solve with Risk, Product, Marketing teams
  • Support new product launches with test and control plans
  • Create relationships with stakeholders and anticipate executive questions

Requirements For Senior Data Scientist

Python
  • Bachelor's or Master's degree in quantitative field
  • 5+ years in an analytical role with team management experience
  • Proficiency in SQL, Python, data mining, and BigQuery analytics
  • Experience in designing and analyzing experiments
  • Strong data storytelling abilities
  • Experience working with large, multi-dimensional datasets
  • Strong analytical and problem-solving abilities
  • Strong written and verbal communication skills

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