Economist II, AWS Central Economics and Science - Amazon

Description Our team develops econometric models working closely with business, finance, and operations leaders, influencing strategic and tactical decisions across Amazon Web Services (AWS). The problem space for this role includes developing a deeper understanding of how AWS customers use AWS services and how different sales roles, programs, go-to-market motions, and partners help customers access those services. Econometric problems include program evaluation, experimental platform design in non-standard settings, and identification in two and multi-sided markets. Almost all inference problems are part of larger structural relationships with ambiguity, so strong applied theory is also key to this position. The ideal candidate will posses strong knowledge of state of the art causal estimation techniques in addition to develop new ones when appropriate. The candidate will also leverage insights to develop a larger structural understanding of the cloud computing business and be curious and excited to apply these in challenging real-world settings. Key job responsibilities The key job responsibilities of this role include: * Designing observational studies founded on the relevant business decision and available data. * Proposing operational decisions to improve internal validity. * Working with business and science to connect the science to a deeper understanding of the business. * Proposing and developing new data collection mechanisms to improve future studies. * Identifying new research areas and opportunities for economics and science to increase AWS revenue and improve AWS operations and decision-making. A day in the life Our team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We ask people to grow their skills and stretch and do so in a supportive and fun environment. It's about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don't encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn't a successful long run strategy. Because we invest in the long run success of our group it's important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn't translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it's not fun, what's the point? Basic Qualifications - PhD in economics or equivalent Preferred Qualifications - 2+ years of industry, consulting, government, or academic research experience - Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS - Experience with handling of large datasets 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/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.