Find your next role
Discover amazing opportunities across our network of companies committed to gender equality in the workplace.
Economist (Causal Inference), Global Media and Entertainment (GME) Science
Amazon
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Economist (Causal Inference), Global Media and Entertainment (GME) Science" WCT-FCT.Marketing & Communications
Seattle, WA, USA
Posted on Jul 24, 2024
DESCRIPTION
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 Science, 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.
This role will expand our team’s measurement work. Business leaders need to quickly understand the long-term impact of various investments, such as new website features, content creation, or marketing campaigns. Our team figures out how to take short-term signals – such as clicks or signups – and turn them into estimates of long-term financial impacts. We work with measurement teams in each business as well as central teams to build foundational measurement science and adapt it for unique use cases. One particular application for this role is to build a principled approach to valuing content/talent deals that include multiple GME businesses. Each deal is unique, featuring talent from film, sports, music, and other top industries, with contract terms that could include video content, podcasts, live appearances, and more. Our valuations need to be structured so that they are comparable across deals, yet flexible enough to account for diverse contracts.
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 in this space 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
• Write business and technical documents communicating business context, methods, and results to business leadership and other scientists
• Serve as a technical reviewer for our team and related teams, including document and code reviews
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of industry, consulting, government, or academic research experience
- Experience with marketing measurement models.
- Knowledge of Python, Spark/PySpark, in addition to any statistical software (e.g. R, Stata).
- Experience with AWS tools such as Sagemaker, EMR, and S3.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Economist (Causal Inference), Global Media and Entertainment (GME) Science" WCT-FCT.