Amazon Data Science Manager Payment Acceptance & Experience PAE 

United States, Washington, Seattle 

366530516

You’ll lead a diverse team of data scientists and BI engineers focused on improving payment acceptance and customer experience. Partnering with global stakeholders, you’ll deliver insights, models, and dashboards that drive key business goals. You’ll guide technical strategy, influence decision-making, and create a team culture where innovation and inclusion thrive. Every day, you’ll turn complex data into clear, actionable outcomes—helping shape the future of payments through collaboration and leadership.Key job responsibilities
• Lead and mentor a collaborative team of data scientists and BI engineers, supporting their professional growth and fostering an inclusive team culture
• Partner with PAE stakeholders to develop analytical solutions, from interactive dashboards to advanced machine learning models
• Guide the development of marketing analytics solutions, customer segmentation, and targeted campaign optimization
• Ensure the delivery of clear, actionable insights through compelling data visualization and storytelling
• Champion data-driven decision making across the organization
• Build and maintain strong partnerships with cross-functional teamsA day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.

- 4+ years of building quantitative solutions as a scientist or science manager experience
- 4+ years of applying statistical models for large-scale application and building automated analytical systems experience
- 2+ years of scientists or machine learning engineers management experience
- Knowledge of Python or R or other scripting language
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems