Senior Economist, Litigation and Regulatory Economics
About the role
with. Next: "Key Job Responsibilities" list bullet points: Provide data-driven guidance on high-stakes legal and regulatory questions facing Amazon worldwide; Collaborate with economists, scientists, engineers, and non-technical partners on high-impact projects with global scope; Partner with global public policy teams to apply economic analyses to current policy debates on competition, AI, and related issues; Engage with external stakeholders to drive deeper understanding of Amazon’s business model and the value it develops for the economy; Support requests for economic analyses and data in ongoing regulatory and litigation matters worldwide; Synthesize business facts and data into compelling economic narratives, translating complex findings into actionable insights; Advise stakeholders across Amazon on a broad spectrum of complex and often novel economic issues; Conduct, direct, and coordinate all phases of research projects—defining key questions, evaluating methodology, executing analysis, and communicating results. That's responsibilities. Then: "If you're an economist with a passion for the current legal and policy debate, strong practical judgment and creative problem-solving skills, a love of communicating economic ideas to non-technical audiences, a knack for distilling data and economic models into key insights, and a track record of delivering results fast, we want to talk to you!" This is more like qualifications/skills. Then "Internal Job Description Basic qualifications PhD in Economics or closely related field Preferred Qualifications 5+ years of economic consulting, regulatory, or policy-relevant experience. Significant economic consulting, regulatory, or policy-relevant experience Broad experience consulting on international competition litigation and regulatory issues, including in emerging economies. Multilingual verbal and written communications skills. Strong background in program evaluation methods, empirical industrial organization methods, applications to business problems, and/or big data. Ability to work in a fast-paced business environment. Strong research track record. Preferred specialties in applied micro or empirical IO, but behavioral economists and generalists with significant competition experience are also encouraged to apply. Familiarity with government data sources. Familiarity with Internet, software, and/or media industries and the legal and regulatory environment in which they operate. Exceptional verbal and written communications skills. Basic Qualifications PhD in economics or equivalent Preferred Qualifications Experience in analytics and applied economics Experience in developing and executing an analytic vision to solve business-relevant problems Experience in building statistical models using R, Python, STATA, or a related software Experience in industry, consulting, government or academic research 5+ years of economic consulting, regulatory, or policy-relevant experience." That's a lot of repeated content. We need to extract qualifications: Basic: PhD in Economics or closely related field (or equivalent). Preferred: 5+ years of economic consulting, regulatory, or policy-relevant experience; significant experience; broad experience consulting on international competition litigation and regulatory issues, including emerging economies; multilingual verbal and written communications skills; strong background in program evaluation methods, empirical industrial organization methods, applications to business problems, and/or big data; ability to work in fast-paced business environment; strong research track record; preferred specialties in applied micro or empirical IO, but behavioral economists and generalists with significant competition experience also encouraged; familiarity with government data sources; familiarity with Internet, software, and/or media industries and the legal and regulatory environment; exceptional verbal and written communications skills; experience in analytics and applied economics; experience in developing and executing an analytic vision to solve business-relevant problems; experience in building statistical models using R, Python, STATA, or related software; experience in industry, consulting, government or academic research. We can combine into Requirements (basic) and Qualifications (preferred) maybe. Then "Skills" maybe we can list communication skills, multilingual, statistical software, etc. Then Benefits: The posting mentions: "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." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also "The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location." Then they list salary ranges for locations: USA, CA, Culver City - 159,200.00 - 215,300.00 USD annually; USA, VA, Arlington - same; USA, WA, SEATTLE - same. Thus we have Pay info: salary range for specific locations. Also sign-on payments and RSUs. We have Benefits: health insurance etc, 401(k) matching, paid time off, parental leave. Schedule: Not mentioned explicitly. No schedule info. So we should not create Schedule section. We need to avoid filler like "commensurate with experience". We have actual salary numbers, so we can include Pay section. We need to avoid repeating job title. No Job ID. We need to remove boilerplate: equal opportunity employer, LA County specifics, criminal history, accommodations, etc. Also remove "If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner." Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." Also remove "Company - Amazon.com Services LLC". Also remove "Job ID: A10564347". Also remove "Amazon is an equal opportunity employer..." etc. We need to preserve all substantive info: responsibilities, qualifications, skills, benefits, pay, sign-on payments, RSUs. We need to decide sections: About the role, Responsibilities, Requirements (basic qualifications), Qualifications (preferred), Skills (maybe combine with qualifications?), Benefits, Pay. We could combine Requirements and Qualifications into one "Qualifications" section with subheadings? But spec says use headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which to include. We have basic qualifications: PhD in Economics or closely related field. That's Requirements. Preferred qualifications: many items. That's Qualifications. Skills: maybe communication skills, multilingual, statistical software (R, Python, STATA), ability to work fast-paced, research track record, etc. Could be separate. But we might avoid duplication. Could put skills under Qualifications. However spec says we can include Skills section if we have real specific content. We have communication skills, multilingual, statistical software, etc. So we can make Skills section. We need to ensure we don't repeat same content across sections unnecessarily, but we can include distinct items. Let's extract: About the role: paragraph as above. Responsibilities: list bullet points. Requirements (basic): PhD in Economics or closely related field. Qualifications (preferred): list items: 5+ years of economic consulting, regulatory, or policy-relevant experience; significant economic consulting, regulatory, or policy-relevant experience (maybe redundant); broad experience consulting on international competition litigation and regulatory issues, including in emerging economies; multilingual verbal and written communications skills; strong background in program evaluation methods, empirical industrial organization methods, applications to business problems, and/or big data; ability to work in a fast-paced business environment; strong research track record; preferred specialties in applied micro or empirical IO, but behavioral economists and generalists with significant competition experience are also encouraged to apply; familiarity with government data sources; familiarity with Internet, software, and/or media industries and the legal and regulatory environment in which they operate; exceptional verbal and written communications skills; experience in analytics and applied economics; experience in developing and executing an analytic vision to solve business-relevant problems; experience in building statistical models using R, Python, STATA, or a related software; experience in industry, consulting, government or academic research. We could condense duplicates: "significant economic consulting..." similar to 5+ years; we can keep just one. Skills: maybe list: strong verbal and written communication skills; multilingual communication; statistical modeling (R, Python, STATA); program evaluation; empirical industrial organization; big data analysis; ability to work fast-paced; research track record; etc. But many overlap with qualifications. Might be better to not have Skills section to avoid duplication. However spec says prefer a few substantive sections over many thin ones. We could combine Qualifications and Skills into one "Qualifications" section that includes both preferred qualifications and skills. But spec expects separate headings if we use them. We could decide to not include Skills section, and put skill-related items under Qualifications. That would reduce sections. Thus sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay. Check if we have any content for Benefits: yes. Pay: yes. Schedule: none, so omit. Now we need to format. Use
for each section heading. Inside each section, use
for prose,
- for lists.
We need to preserve all substantive info. Let's craft.
About the role: combine the two paragraphs: "Want to help Amazon tell its customer-centric story around the world and work in a highly cross-functional environment with economists, lawyers, scientists, public policy, public relations, and business teams? If yes, keep reading! You'll join a team of economists, engineers, and lawyers to develop economic analysis and evidence supporting legal and regulatory matters across all our lines of business worldwide—including retail, marketplace services, AWS, consumer experience, shopping and search, and operations. In this role, you will have exposure to complex regulatory issues that are of high strategic importance to the company and will develop significant expertise on the economics of Amazon’s business operations and the industries in which it operates."
We can put as
. Responsibilities: list each bullet as
- .
Requirements:
PhD in Economics or closely related field.
Qualifications: we need to list preferred qualifications. Use- for each. We need to avoid repetition. Let's list unique items: - 5+ years of economic consulting, regulatory, or policy-relevant experience - Broad experience consulting on international competition litigation and regulatory issues, including in emerging economies - Multilingual verbal and written communication skills - Strong background in program evaluation methods, empirical industrial organization methods, applications to business problems, and/or big data - Ability to work in a fast-paced business environment - Strong research track record - Preferred specialties in applied micro or empirical IO; behavioral economists and generalists with significant competition experience also encouraged - Familiarity with government data sources - Familiarity with Internet, software, and/or media industries and the legal and regulatory environment in which they operate - Exceptional verbal and written communication skills (maybe combine with multilingual? but keep) - Experience in analytics and applied economics - Experience in developing and executing an analytic vision to solve business-relevant problems - Experience in building statistical models using R, Python, STATA, or related software - Experience in industry, consulting, government, or academic research We could combine "Exceptional verbal and written communication skills" with "