Marketing Data Scientist

$60,900 - $147,400/Yr

PayPal - New York, NY

posted 3 months ago

Full-time - Mid Level
Hybrid - New York, NY
Credit Intermediation and Related Activities

About the position

The Marketing Data Scientist at PayPal will play a crucial role in driving insights and business intelligence for the Consumer Marketing Organization. This position involves leading analytical projects, developing AI/ML models, and providing actionable recommendations to enhance marketing performance. The successful candidate will collaborate with various teams to address complex business challenges and support marketing leadership with data-driven insights.

Responsibilities

  • Provide data-driven insights including business casing, deep dives, modeling, and campaign performance readouts and optimization.
  • Develop proof of concepts (POC) and implement AI/ML models to improve marketing performance and efficiency.
  • Deliver accurate, action-driving recommendations to drive business performance and investment optimization.
  • Manage multiple analytical projects in a fast-paced, results-oriented environment.
  • Influence stakeholders to make business decisions aligned with global measurement approaches.

Requirements

  • MS/PhD Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, or Economics.
  • 3+ years of experience in analytics, engineering, or management consulting or equivalent analytical and project management experience.
  • Experience managing data science projects and driving strategy for large, global organizations.
  • Exceptional problem-solving skills with a strong ability to drive towards action and impact.
  • Experience managing analytics projects from inception to delivery, including developing structured solutions.
  • Experience with visualizations, dashboards, and reports.
  • Experience with data modeling, machine learning algorithms, and data science techniques, including Python, SQL, and BigQuery.
  • Ability to explain technical concepts and analysis implications to varied audiences.

Benefits

  • Flexible work environment
  • Employee share options
  • Health insurance
  • Life insurance
  • Dental insurance
  • Vision insurance
  • Annual performance bonus
  • Equity compensation
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