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Senior Economist, Global Media and Entertainment (GME) Econ

Job ID: 2182591 | Amazon.com Services LLC

DESCRIPTION

Job summary
Amazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience.

Our team, GME Economics, is focused on building science tools to optimize Amazon’s entertainment offerings, so that we can provide a great customer experience while operating as a sustainable and profitable business. We push ourselves to Think Big, building ambitious models that create value in multiple GME businesses.

Our team answers questions like:
• What is the long-term economic value of a particular content investment, UX change, or customer action?
• How can we understand the GME customer lifecycle better, from new acquisitions to power users?
• How do innovations in one GME business impact customer growth in another?
• What can we learn about customers that will help optimize our portfolio of GME products and content?

We are looking for a Senior Economist with a background in causal analysis to be a team lead, possibly as a manager if there is mutual interest and a good fit. To be successful in this role, you will need effective communication, an ability to work closely with stakeholders across our many GME partner teams, and the skill to translate data-driven findings into actionable insights. This includes developing a deep understanding of our business context, which is ambiguous and can change quickly. Your work will be used by decision-makers across GME to deliver the best entertainment experience for our customers, which means we have a high bar. Our healthy team culture is supportive and fast-paced, and we prioritize learning, growth, and helping each other to continuously raise the bar.

Impact and Career Growth:
In today’s entertainment landscape, critical decisions are made with data and economic models. You’ll help GME leaders ask the right questions, and then deliver data-driven answers, creating the future of GME at Amazon. You’ll help define a long-term science vision for our team and translate it into an actionable roadmap. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding – a perfect recipe for career growth as an economist in tech.


Key job responsibilities
• Design and build econometric models, especially causal models, to measure the value of the business and its many features
• Develop science products from concept to prototype to production, incorporating feedback from scientists and business partners
• Independently identify and pursue new opportunities to leverage economic insights across GME businesses
• Collaborate with PMs to build product roadmaps, ensuring our work meets the needs of our stakeholders and then communicating progress and findings to them
• Write business and technical documents communicating business context, methods, and results to business leadership and other scientists
• Work with engineers within and outside our org to productionize science models
• Serve as a technical lead and mentor for junior scientists, ensuring a high science bar
• Serve as a technical reviewer for our team and related teams, including document and code reviews

BASIC QUALIFICATIONS

  • PhD in Economics or closely related field

• 3+ years post-PhD research and work experience
• Proficiency in causal inference and program evaluation models
• Experience building statistical models using Python, R, Stata, or related

PREFERRED QUALIFICATIONS

• Experience working with data scientists, software development teams, and other technical roles on large, complex data science projects
• Experience with downstream impact (DSI) models, i.e., estimating long-term impacts from relatively short-run measurements
• Experience with double machine learning and common machine learning prediction models
• Proficiency in Spark/PySpark, Scala
• Experience with AWS tools such as Sagemaker, EMR, S3, and Redshift


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.