Director, Applied Science, Stores Economics and Science

About the role

We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business.

Responsibilities

• Own the development of scientific models and manage data analysis, modeling, and experimentation necessary for estimating and validating your model.
• Collaborate with business partners to communicate the properties of your analysis/modeling and incorporate their feedback and requests into your project.
• Experience in applied economic analysis is essential, and familiarity with modern tools for data science and business analysis is preferred.

Requirements

• PhD in Economics, Computer Science, Operations Research, Physics, Statistics, Mathematics, or a highly related field.
• Industry, consulting, government, or academic research experience.
• Coding ability in a scripting language such as R, Python, Matlab, or STATA.

Qualifications

• Strong track record in performing high-quality analysis of data at scale.

Skills

Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.

Pay

The base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location.

• USA, CA, Mountain View - 297,500.00 - 350,000.00 USD annually
• USA, WA, Seattle - 262,500.00 - 350,000.00 USD annually

Schedule

Work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.