Senior Product Data Scientist at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Data Mining, BigQuery, Experimentation, Data Visualization, Python, Tableau, Jupyter Notebooks, Teradata, Hadoop, Problem Solving, Communication, Stakeholder Management, Performance Monitoring, Root Cause Analysis

Industry

Software Development

Description

Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations. Design visually engaging data outputs that are intuitive for end-users to explore and understand. Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives. Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions. Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges. Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance. Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries. Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. 2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists. Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud). Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches. Expertise in synthesizing complex data into clear, actionable insights and narratives. Experience working with large, multi-dimensional datasets and solving analytical challenges. Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable. Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis. Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights. Industry experience in payments, eCommerce, or financial services is a plus. Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership

Responsibilities

Conduct deep-dive analyses on key business trends and deliver insights through clear presentations. Collaborate with various teams to analyze performance trends and facilitate new product launches.