📌 Core Information
🔹 Job Title: Principal Economist, WW Stores Marketing Measurement, Stores Marketing Measurement and Decision Science
🔹 Company: Amazon
🔹 Location: Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA
🔹 Job Type: Full-Time
🔹 Category: Marketing
🔹 Date Posted: May 12, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA)
🚀 Job Overview
Key aspects of this role include:
- Driving marketing measurement innovation at Amazon
- Leading experimentation and causal methods standards across a multi-billion dollar global marketing portfolio
- Collaborating with world-class scientists and business partners to pioneer new approaches and establish best practices
- Translating complex methodologies into actionable business insights to support risk-based marketing spend decision making
- Advancing the field of marketing measurement science while impacting multi-billion dollar marketing decisions
ASSUMPTION: This role requires a strong background in economics, statistics, and data analysis, with a focus on causal inference, experimental design, and Bayesian methods. It also assumes a high level of strategic thinking and the ability to work effectively with both technical and non-technical stakeholders.
📋 Key Responsibilities
✅ Drive the future of marketing measurement at Amazon by leading experimentation and causal methods standards
✅ Collaborate with world-class scientists and business partners to pioneer new approaches and establish best practices across Amazon's marketing ecosystem
✅ Translate complex methodologies into actionable business insights to support risk-based marketing spend decision making
✅ Advance the field of marketing measurement science while impacting multi-billion dollar marketing decisions
✅ Lead the development of uncertainty quantification and risk-based decision-making frameworks
✅ Support scientists in designing and analyzing high-impact experiments
✅ Establish and elevate experimentation standards across Amazon's marketing ecosystem
✅ Drive alignment on experimentation best practices across partner teams and the Amazon science community
ASSUMPTION: This role involves a high degree of collaboration and influence, requiring strong communication and interpersonal skills. It also assumes a deep understanding of marketing measurement principles and a passion for continuous learning and innovation.
🎯 Required Qualifications
Education: Master's degree in Economics, Statistics, Mathematics, or a related field (PhD preferred)
Experience: 5-10 years of experience in economics, statistics, data analysis, or a related field, with a focus on causal inference, experimental design, and Bayesian methods
Required Skills:
- Expertise in causal inference, experimental design, statistics, and Bayesian methods
- Proven ability to translate complex methodologies into actionable business insights
- Strong collaboration and communication skills
- Experience working with large datasets and advanced statistical software
- Familiarity with marketing measurement principles and practices
Preferred Skills:
- Experience in a marketing or advertising context
- Familiarity with Amazon's marketing ecosystem
- Programming skills (e.g., Python, R, SQL)
ASSUMPTION: While a PhD is preferred, a strong master's degree with relevant experience may be considered. Additionally, while programming skills are not required, they may be beneficial for working with large datasets and automating processes.
💰 Compensation & Benefits
Salary Range: $150,000 - $250,000 (based on industry standards for a principal economist role with 5-10 years of experience)
Benefits:
- Comprehensive health, dental, and vision insurance
- 401(k) matching
- Generous paid time off
- On-site services and amenities
- Tuition reimbursement
Working Hours: Full-time (40 hours per week), with flexibility for remote work (Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA)
ASSUMPTION: The salary range is an estimate based on industry standards for a principal economist role with 5-10 years of experience. Actual compensation may vary based on factors such as location, experience, and skills.
📌 Applicant Insights
🔍 Company Context
Industry: Amazon is a multinational technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Company Size: 10,001+ employees (Enterprise-level)
Founded: 1994 (as an online bookstore, later expanding into other products and services)
Company Description:
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
- The company 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: Amazon.com
ASSUMPTION: Working at Amazon offers opportunities for professional growth, exposure to cutting-edge technology, and a dynamic work environment. However, it also assumes a high level of competition and a fast-paced, results-driven culture.
📊 Role Analysis
Career Level: Senior-level role with significant impact on Amazon's marketing measurement strategies and decision-making processes
Reporting Structure: This role reports directly to the Director of Stores Marketing Measurement and Decision Science and collaborates with various teams across Amazon's marketing ecosystem
Work Arrangement: On-site (Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA) with flexibility for remote work
Growth Opportunities:
- Potential to advance to a leadership role within Amazon's marketing measurement and decision science team
- Opportunities to work on high-impact projects and initiatives across Amazon's global marketing portfolio
- Exposure to a wide range of marketing measurement methodologies and best practices
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to make a tangible impact on Amazon's marketing strategies and decision-making processes.
🌍 Location & Work Environment
Office Type: Modern, collaborative workspaces with on-site services and amenities
Office Location(s): Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA
Geographic Context:
- Sunnyvale, CA: Located in the heart of Silicon Valley, offering easy access to top tech companies and a diverse talent pool
- Seattle, WA: Amazon's headquarters, with a strong focus on innovation and collaboration
- New York, NY: A major hub for marketing and advertising, with a vibrant cultural scene and access to top talent
- Irvine, CA: A growing tech hub with a strong focus on data science and analytics
Work Schedule: Full-time (40 hours per week), with flexibility for remote work (Sunnyvale, CA; Seattle, WA; New York, NY; Irvine, CA)
ASSUMPTION: The work environment at Amazon is fast-paced, collaborative, and data-driven, with a strong focus on innovation and continuous learning. It also assumes a high degree of flexibility and adaptability, as priorities and projects may change rapidly.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a member of the recruitment team
- Technical assessment or case study
- On-site or virtual interview with the hiring manager and team members
- Final round interview with senior leadership
- Background check and offer extension
Key Assessment Areas:
- Technical expertise in causal inference, experimental design, statistics, and Bayesian methods
- Ability to translate complex methodologies into actionable business insights
- Collaboration and communication skills
- Problem-solving and analytical skills
- Cultural fit with Amazon's leadership principles
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your approach to marketing measurement and data analysis in the interview
- Showcase your ability to work effectively with both technical and non-technical stakeholders
- Demonstrate your passion for innovation and continuous learning
ATS Keywords: Causal Inference, Experimental Design, Statistics, Bayesian Methods, Marketing Measurement, Data Analysis, Business Insights, Collaboration, Risk-Based Decision Making, Uncertainty Quantification
ASSUMPTION: The interview process at Amazon is comprehensive and rigorous, with a strong focus on cultural fit and technical expertise. It also assumes a high degree of adaptability and flexibility, as priorities and projects may change rapidly.
🛠️ Tools & Technologies
- Advanced statistical software (e.g., R, Python, SAS, Stata)
- Data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
- Database management systems (e.g., SQL, MySQL, PostgreSQL)
- Cloud-based platforms (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure)
- Collaboration and project management tools (e.g., JIRA, Asana, Trello)
ASSUMPTION: The tools and technologies required for this role may vary depending on the specific needs and preferences of the team and organization. However, a strong foundation in statistical software and data visualization tools is essential.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic
- Collaborative and data-driven
- Results-oriented and customer-centric
- Adaptable and flexible
Self-Assessment Questions:
- How do you approach translating complex methodologies into actionable business insights?
- Can you provide an example of a time when you worked effectively with both technical and non-technical stakeholders to drive a marketing measurement initiative?
- How do you stay up-to-date with the latest trends and best practices in marketing measurement and data analysis?
ASSUMPTION: A strong cultural fit with Amazon's leadership principles and work style is essential for success in this role. Candidates should be able to demonstrate their ability to thrive in a fast-paced, collaborative, and data-driven environment.
⚠️ Potential Challenges
- Working in a fast-paced, high-pressure environment with tight deadlines and competing priorities
- Balancing the need for innovation and continuous learning with the need to deliver tangible results and impact
- Navigating a large, complex organization with multiple stakeholders and competing interests
- Managing a high volume of data and complex analytical models
- Adapting to rapid changes in priorities and projects
ASSUMPTION: While this role offers significant opportunities for professional growth and impact, it also presents unique challenges that require a high degree of adaptability, resilience, and strategic thinking.
📈 Similar Roles Comparison
- Compared to other senior-level marketing measurement roles, this position offers a unique opportunity to work at the intersection of advanced economic and statistical methods and billion-dollar business decisions
- Amazon's focus on innovation and continuous learning sets it apart from other companies in the industry, offering a more dynamic and challenging work environment
- Career paths in marketing measurement and data analysis can vary widely depending on the specific industry, organization, and role. However, this role offers significant potential for growth and advancement within Amazon's marketing ecosystem
ASSUMPTION: While this role shares similarities with other senior-level marketing measurement positions, its unique focus on driving multi-billion dollar marketing decisions and advancing the field of marketing measurement science sets it apart.
📝 Sample Projects
- Developing a new framework for uncertainty quantification and risk-based decision-making in marketing measurement
- Designing and analyzing high-impact experiments to optimize marketing spend across Amazon's global portfolio
- Collaborating with business stakeholders to translate experimental results into actionable insights and support risk-based marketing investment decisions
ASSUMPTION: The specific projects and initiatives for this role may vary depending on the organization's priorities and needs. However, a strong foundation in marketing measurement principles and a passion for innovation and continuous learning are essential for success.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics for this role, and how it collaborates with other teams across Amazon's marketing ecosystem?
- How does this role balance the need for innovation and continuous learning with the need to deliver tangible results and impact?
- What are the key priorities and initiatives for this role in the first 90 days?
- How does Amazon support the professional growth and development of its employees in this role?
- Can you provide an example of a time when the team faced a significant challenge or setback, and how they worked together to overcome it?
ASSUMPTION: Asking thoughtful, insightful questions during the interview process demonstrates your interest in the role and your commitment to understanding the organization's culture and priorities.
📌 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 role
- Prepare for the technical assessment or case study by brushing up on your knowledge of causal inference, experimental design, statistics, and Bayesian methods
- Research Amazon's marketing measurement principles and best practices to demonstrate your understanding of the organization's priorities and initiatives
- Follow up with the hiring manager or recruitment team 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.
