Director, Applied Science, Stores Economics and Science
Job ID: 3094532 | Amazon.com Services LLC
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 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. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
At the senior level, we expect you to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.
About the team
The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to the use of cutting‑edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML, robotics, computer vision (CV), natural language processing (NLP), distributed systems and econometrics.
Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science‑heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.
Basic Qualifications
* PhD in Economics, Computer Science, Operations Research or highly related field (Physics, Statistics, Mathematics).
* Experience in industry, consulting, government, or academic research.
* Coding ability in a scripting language such as R, Python, Matlab, or STATA.
Preferred Qualifications
* Written and verbal communication skills to convey complicated processes and systems to business partners and senior leadership.
* Applicants with considerably more and broader experience are also strongly encouraged.
* Strong track record in performing high‑quality analysis of data at scale.
Benefits
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Salary Range
USA, CA, Mountain View - 297,500.00 - 350,000.00 USD annually
USA, WA, Seattle - 262,500.00 - 350,000.00 USD annually
Location
ES, Community of Madrid, Madrid
Posted
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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