📌 Core Information
🔹 Job Title: Sr. Economist, Video Economics
🔹 Company: Amazon
🔹 Location: London, England, United Kingdom
🔹 Job Type: On-site
🔹 Category: Data Science & Analytics
🔹 Date Posted: 2025-05-26
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Developing advanced econometric frameworks for products and services
- Leveraging causal inference methods to estimate investment impacts
- Collaborating with other scientists to deliver measurable progress
- Influencing business leaders based on empirical findings
ASSUMPTION: This role requires a strong background in econometrics and statistics, as well as experience in experimentation and machine learning. It is ideal for someone with an entrepreneurial spirit and a quantitative approach to problem-solving.
📋 Key Responsibilities
✅ Leverage causal inference methods to estimate the impact of large-scale investments ex post
✅ Develop advanced structural demand and econometric frameworks for products and services
✅ Collaborate with other scientists at Amazon to deliver measurable progress and change
✅ Influence business leaders based on empirical findings
✅ Work as an individual contributor on a mix of complex strategic, long-term research and tactical analytical projects
✅ Write technical and business-facing documents and present work to business leaders and the science community
ASSUMPTION: This role involves a combination of strategic, long-term research and tactical analytical projects. Strong communication skills are essential to present findings to both technical and non-technical stakeholders.
🎯 Required Qualifications
Education: PhD in Economics or a related field
Experience: 5-10 years of experience in econometrics, experimentation, and machine learning
Required Skills:
- Econometrics
- Statistics
- Causal Inference
- Machine Learning
- Data Analysis
- Collaboration
- Empirical Research
- Structural Demand Frameworks
Preferred Skills:
- Experience with Amazon Web Services (AWS)
- Familiarity with Python and R programming languages
ASSUMPTION: While not explicitly stated, experience with AWS and familiarity with Python and R programming languages would be beneficial for this role.
💰 Compensation & Benefits
Salary Range: £70,000 - £120,000 per year (Based on industry standards for a Sr. Economist role in London)
Benefits:
- Health, dental, and vision insurance
- Retirement savings plan with company match
- Generous vacation and sick leave
- Maternity and paternity leave
- Employee discounts on Amazon products
Working Hours: Full-time, typically Monday to Friday, 9:00 AM to 5:30 PM, with flexibility for project needs
ASSUMPTION: The salary range is an estimate based on industry standards for a Sr. Economist role in London. Benefits are based on Amazon's standard employee benefits package.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and Technology
Company Size: 10,001+ employees (Large enterprise)
Founded: 1994 (Over 25 years ago)
Company Description:
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking.
- It is driven by the excitement of building technologies, inventing products, and providing services that change lives.
- Amazon's mission is to be Earth's most customer-centric company.
Company Specialties:
- E-commerce
- Retail
- Operations
- Internet
Company Website: https://www.amazon.com
ASSUMPTION: Amazon is a large, well-established company with a strong focus on innovation and customer experience. It offers a wide range of benefits and opportunities for professional growth.
📊 Role Analysis
Career Level: Senior level, with potential for growth into management or specialized expert roles
Reporting Structure: This role reports directly to the Video Economics team lead
Work Arrangement: On-site, with potential for occasional remote work for specific projects
Growth Opportunities:
- Potential to take on mentorship roles as the team grows
- Opportunity to work on high-impact projects that influence business decisions
- Possibility to transition into management or specialized expert roles
ASSUMPTION: This role offers opportunities for professional growth and development, both in terms of technical skills and leadership abilities.
🌍 Location & Work Environment
Office Type: Modern, collaborative office space with on-site amenities
Office Location(s): London, England, United Kingdom
Geographic Context:
- London is a major global city with a vibrant tech industry
- Amazon's London office is located in the heart of the city, with easy access to public transportation
- The office offers a collaborative and inclusive work environment
Work Schedule: Full-time, typically Monday to Friday, 9:00 AM to 5:30 PM, with flexibility for project needs
ASSUMPTION: The London office offers a dynamic and collaborative work environment, with easy access to the city's amenities and cultural attractions.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a member of the HR team
- Technical interview with the hiring manager or a team member
- On-site interview with the team and final decision-making
Key Assessment Areas:
- Technical skills in econometrics and statistics
- Problem-solving abilities and analytical thinking
- Communication and presentation skills
- Cultural fit and alignment with Amazon's leadership principles
Application Tips:
- Highlight relevant experience and projects that demonstrate your econometric and statistical skills
- Tailor your resume and cover letter to emphasize your fit for this specific role
- Prepare for technical questions and be ready to discuss your approach to problem-solving
- Research Amazon's leadership principles and be ready to discuss how you embody them
ATS Keywords: Econometrics, Statistics, Causal Inference, Machine Learning, Data Analysis, Collaboration, Empirical Research, Structural Demand Frameworks
ASSUMPTION: The interview process is designed to assess both technical skills and cultural fit. Applicants should be prepared to discuss their approach to problem-solving and their alignment with Amazon's leadership principles.
🛠️ Tools & Technologies
- Python
- R
- AWS (Amazon Web Services)
- SQL
- Excel
ASSUMPTION: Familiarity with these tools and technologies is beneficial for this role, although specific training may be provided.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Invent and Simplify
- Learn and Be Curious
- Hire and Develop the Best
- Insist on the Highest Standards
- Think Big
- Bias for Action
- Frugality
- Earn Trust
Work Style:
- Collaborative and inclusive
- Fast-paced and dynamic
- Results-driven and entrepreneurial
- Focused on long-term thinking and innovation
Self-Assessment Questions:
- Do you have a strong customer focus and a passion for innovation?
- Are you comfortable working in a fast-paced, collaborative environment?
- Do you have a bias for action and a results-driven approach?
- Are you able to think big and insist on the highest standards?
ASSUMPTION: Applicants should assess their fit with Amazon's company values and work style to ensure a successful cultural integration.
⚠️ Potential Challenges
- Working in a fast-paced, dynamic environment may require adaptability and flexibility
- Collaborating with diverse teams and stakeholders may present communication challenges
- The role may require working on multiple projects simultaneously, requiring strong time management skills
- Amazon's culture may be intense and demanding, with high expectations for performance
ASSUMPTION: Applicants should be prepared to navigate these potential challenges and consider how their skills and work style align with Amazon's culture and expectations.
📈 Similar Roles Comparison
- Compared to other Economist roles, this position offers a unique focus on video economics and the opportunity to influence business decisions for Prime Video
- Industry-specific context: The video streaming market is competitive and rapidly evolving, requiring continuous innovation and adaptation
- Career path comparison: This role offers opportunities for growth into management or specialized expert roles, with potential to influence business strategy and decision-making
ASSUMPTION: Applicants should consider how this role compares to other Economist positions and how it aligns with their career goals and interests.
📝 Sample Projects
- Developing an econometric framework to estimate the impact of a new content acquisition strategy on Prime Video subscriptions
- Conducting an empirical analysis of customer demand for specific genres or titles to inform content investment decisions
- Leveraging machine learning algorithms to predict the impact of pricing changes on customer behavior
ASSUMPTION: These sample projects illustrate the types of analyses and frameworks that may be required for this role, although specific projects may vary.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Video Economics team?
- How does this role contribute to Amazon's overall business strategy and decision-making for Prime Video?
- What are the most pressing business challenges facing the Video Economics team, and how does this role address them?
- How does Amazon support the professional growth and development of its employees in this role?
- What is the typical work-life balance like for someone in this role, and how does Amazon support work-life integration?
ASSUMPTION: These questions are designed to provide insight into the role's context, responsibilities, and growth opportunities, as well as Amazon's company culture and support for employee development.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this specific role
- Prepare for technical questions by reviewing your econometric and statistical skills and brushing up on your problem-solving approach
- Research Amazon's leadership principles and be ready to discuss how you embody them in your work
- Follow up with the hiring manager one week after submitting your application to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
