Economist I, Prime Video
Key job responsibilities
- Build scalable analytic solutions using state of the art tools based on large datasets
- Build causal inference models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features
- Partner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions
- Independently identify new opportunities for leveraging economic insights and models in the Video business
- Develop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leaders
- Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
Basic Qualifications
- PhD in economics or equivalent
Preferred Qualifications
- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Experience in a postdoctoral position, consulting position, government position or academic research
- Experience with SQL
About the role
Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contributes to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. In addition, Prime Video offers a variety of live sport streaming services in multiple locales.
Responsibilities
The candidate's responsibilities will include:
- Build scalable analytic solutions using state of the art tools based on large datasets
- Build causal inference models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features
- Partner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions
- Independently identify new opportunities for leveraging economic insights and models in the Video business
- Develop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leaders
- Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
Qualifications
- PhD in economics or equivalent
- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Experience in a postdoctoral position, consulting position, government position or academic research
- Experience with SQL
Skills
- Strong quantitative modeling skills
- Ability to apply statistical/machine learning, structural models, and experimental design methods to large amount of individual level data
- Strong communication skills
- Ability to work closely with stakeholders and translate data-driven findings into actionable insights
- Self-starter comfortable with ambiguity
- Strong attention to detail
- Ability to work in a fast-paced and ever-changing environment
Benefits
Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits.
Pay
Base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location.
USA, CA, Culver City - 129,200.00 - 174,700.00 USD annually
USA, NY, New York - 142,100.00 - 192,200.00 USD annually
USA, WA, SEATTLE - 129,200.00 - 174,700.00 USD annually
Schedule
Final compensation will be determined based on factors including experience, qualifications, and location.