Data Science Manager, Payment Acceptance & Experience (PAE), Data Science

Lead a diverse team of data scientists and business intelligence engineers dedicated to delivering data-driven insights, predictive models, and intuitive dashboards that enhance our payment acceptance strategies and customer experience. We're looking for an inclusive leader who can foster innovation and create an environment where team members with different perspectives and backgrounds can thrive.

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 teams

A 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.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
The Payment Acceptance & Experience (PAE) Data Science team is at the forefront of transforming payments data into intelligent solutions that enhance customer experiences and operational efficiency. Our team combines advanced analytics, machine learning, and business intelligence to deliver actionable insights and innovative tools that support PAE's mission of building the most trusted and accessible payment experience globally.

Basic Qualifications

- 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

Preferred Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.