Economist, Content Valuation & Growth Analytics

Amazon; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon.com Services LLC seeks an Economist to support Prime Video content valuation and growth. You will develop quantitative models, run experiments, and translate findings into actionable insights for stakeholders across Business, Finance, Science, and Tech teams in a fast-paced environment.

Preferred background includes analytics experience, applied economics, and proficient use of R, Python, or STATA to build scalable solutions. PhD in economics is required.

Qualifications

• PhD in economics or equivalent.
• 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.

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.

Skills

Analytics experience

Applied economics

Causal inference

Statistical modeling

Education

PhD in economics

Tools

R

Python

STATA

Job description

Amazon.com Services LLC seeks an Economist to support Prime Video content valuation and growth. You will develop quantitative models, run experiments, and translate findings into actionable insights for stakeholders across Business, Finance, Science, and Tech teams in a fast-paced environment.

Preferred background includes analytics experience, applied economics, and proficient use of R, Python, or STATA to build scalable solutions. PhD in economics is required.