Economist , Video Economics

Redefined Ltd; London; On-site; GBP 45,000 - 80,000; Full time

Job summary

An innovative firm is seeking an Economist to harness econometrics and machine learning to influence business decisions. This role involves developing advanced econometric frameworks and collaborating with a team of PhD-trained economists. You will tackle complex strategic projects, utilizing your skills in causal analysis and data scripting languages like Python and SQL. Join a high-impact team that values diversity and is committed to delivering measurable results. If you're passionate about using your quantitative expertise to drive business innovation, this opportunity is perfect for you.

Qualifications

• Completed PhD in Economics or equivalent.
• Proficiency in empirical techniques and econometric modelling.

Responsibilities

• Leverage causal inference methods for large-scale investments.
• Develop advanced econometric frameworks for products and services.

Skills

Empirical Techniques

Causal Analysis

Econometric Modelling

Python

R

Stata

SQL

Education

PhD in Economics

Tools

Python

R

Stata

SQL

Job description

DESCRIPTION

Are you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video.

If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

Key job responsibilities
•Leverage causal inference methods to estimate the impact of large-scale investments ex post
•Develop advanced structural demand and econometric frameworks for products and services
•Collaborate with other scientists at Amazon to deliver measurable progress and change
•Influence business leaders based on empirical findings

A day in the life
You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.

About the team
The Video Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization.

BASIC QUALIFICATIONS

Completed PhD in Economics or equivalent
Proficiency in applying empirical techniques in reduced-form causal analysis and econometric modelling
Experience in using programmatic scripting languages for data analysis (e.g. Python, R, Stata) and extraction (SQL)

PREFERRED QUALIFICATIONS

Post-PhD experience in private sector or academia
Experience in optimization and microeconomic modelling and/or empirical IO
Strong research track record

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.