Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- $136K – $212.8K/yr
- Location
- New York, New York, United States Culver City, California, United States
- Work arrangement
- On-site
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Role Summary
This Economist role on the Amazon Advertising Ads Econ team focuses on building econometric and machine learning models to optimize advertising strategies and guide business and product decisions. The role involves hands-on analysis of large datasets, A/B experiments, and productionizing models with software engineers.
What You'll Do
- Leverage econometrics and ML models to optimize advertising strategies on behalf of customers.
- Influence key business and product decisions based on insights from models developed.
- Perform hands-on analysis and modeling with large data sets to develop insights that increase traffic monetization and merchandise sales...
- Work closely with software engineers on detailed requirements to productionize the models built.
- Run A/B experiments and communicate results to business stakeholders.
- Work with scientists, software developers, and product partners to implement solutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A PhD in economics or equivalent with a passion for building econometric solutions and communicating data insights.
Required
- PhD in economics or equivalent
Preferred
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are looking for an experienced Economist with a deep passion for building econometric solutions and the ability to communicate data insights and scientific vision to execute on strategic projects.
Key job responsibilities
- Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers.
- Influence key business and product decisions based on insights from models you develop.
- Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
- Work closely with software engineers on detailed requirements to productionize the models you build.
- Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
- Work with other scientists, software developers, and product partners to implement your solutions.
Basic Qualifications
- PhD in economics or equivalentPreferred Qualifications
- 2+ years of industry, consulting, government, or academic research experience- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). 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.
USA, CA, Culver City - 136,000.00 - 184,000.00 USD annually
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About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.