Within Amazon Search, the Data Science team brings expertise in constrained optimization, modeling data, and experimental methods. We partner with internal and external teams to bring create pioneering new insights, develop new measurement and testing methodologies, and hone optimization strategies. We ensure Search's systems, models, and teams properly optimizing over trade-offs in the function of the search experience. In addition to working with partners, we incubate new modeling techniques, and perform 'front line recon' on potential new models and tools.
We are looking for a Senior Economist to independently leverage petabyte scale data, seek out opportunities, and deliver models, metrics, or insights that creates wins for customers.
Key job responsibilities
Measure / Quantify / Expand
- Design, size, and analyze field experiments at scale.
- Apply econometric or statistical knowledge to improve Amazon Search (using machine learning techniques is a plus)
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify trends and support decision making.
Explore / Enlighten
- Formalize assumptions about how Amazon Search is expected to work.
- Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes.
Decide / Recommend
- Build decision-making models and propose solution for the business problem you defined
- Analyze A/B tests and extract understanding of customer behavioral responses
- Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
- Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
About the team
The mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs. We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound. We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
- Experience in building statistical models using R, Python, STATA, or a related software
PREFERRED QUALIFICATIONS
- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in industry, consulting, government or academic research
- Experience working with software developers and product managers
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: 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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and 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.
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 $143,300/year in our lowest geographic market up to $247,600/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.