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PayPal

Runs a digital wallet for online payments

Senior Data Scientist - Data Science

Data SciencePosted on Nov 10
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A master’s degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, or a closely related field, plus three years of experience in the job offered or a related occupation.
  • Three years of experience using SQL and at least one scripting language, Python or R, to process large, complex, and messy datasets.
  • Three years of experience designing and reading out A/B tests or hypothesis tests to inform product decisions and new experience launches.
  • Three years of product analytics experience conducting funnel analysis, user segmentation, and identifying growth opportunities.
  • Two years of experience using reporting tools such as Tableau, Looker, or Excel.
  • Three years of experience defining, measuring, and monitoring key business and product key performance indicators.
  • Three years of experience partnering with leadership engineers, product managers, and data engineers to understand business needs and how analytics can address them.
  • Three years of experience in statistical modeling, including regression, time-series forecasting, and classification models, to quantify impact, predict outcomes, and support strategic decision-making.
  • Three years of experience translating complex problems into simpler terms and influencing peers and senior leadership.
  • Must be legally authorized to work in the United States without sponsorship.

Responsibilities

  • Leverage data and analytics to drive strategy and initiatives while taking end-to-end ownership of key projects.
  • Perform deep-dive analyses of key business trends from multiple perspectives and package insights into easily consumable presentations.
  • Make data visually appealing and simple for end-users to navigate and comprehend.
  • Identify key metrics and drive the building of executive-facing dashboards to track business progress and its highest-priority initiatives.
  • Identify key business levers, establish cause and effect, and communicate findings to stakeholders to facilitate data-driven decision-making.
  • Work with Risk, Product, Marketing, Design, Engineering, and other teams to determine performance trends and root causes.
  • Design hypothesis-driven experiments and support new product launches by establishing test and control plans, making recommendations based on test outcomes, and ensuring ongoing monitoring of product performance.
  • Build close relationships with stakeholders to anticipate and answer questions executives may ask.
  • Combine findings to convey clear insights and analyze large, complex, multidimensional datasets.
  • Solve problems analytically and create actionable recommendations.
  • Establish and promote best practices in analytics instrumentation and experimentation.
  • Manage multiple projects simultaneously in a fast-paced, results-driven environment.

About the Company

PayPal

Runs a digital wallet for online payments

PayPal runs a digital wallet and checkout button that let people pay online stores and send money to friends and family, and merchants of every size add it to their websites and apps. Its peer-to-peer app Venmo became one of the most common ways for Americans to split bills and pay each other back. Shoppers link a bank account, card or balance once and then pay without retyping details, while PayPal charges merchants a fee on each sale and also earns from currency conversion, consumer loans and interest on customer balances. The company was founded in 1998, was owned by eBay from 2002 until a 2015 spin-off, and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1998

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