Senior Economist, Decision Science - Devices

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Decision Science team in Devices builds econometric and ML models to estimate demand and guide pricing for concept devices. You will work with scientists, economists, PMs, and engineers to translate data into actionable business insights and influence go/no-go decisions.

We seek a PhD economist with analytics experience to lead modeling efforts, mentor peers, and communicate complex results to senior leadership. This role is based in Seattle with a fast-paced, collaborative environment.

Qualifications

• PhD in economics or equivalent.
• Experience in analytics and applied economics.
• Ability to build statistical models using R, Python, STATA or related software.

Responsibilities

• Develop econometric/machine learning models to measure demand and inform pricing decisions.
• Review models and results, mentor junior scientists.
• Generate economic insights for devices and services and collaborate with stakeholders.
• Interact with senior leadership to guide business decisions and special projects.

Skills

Econometrics

Machine learning

Data analysis

Statistical modeling

Education

PhD in economics or equivalent

Tools

R

Python

STATA

Job description

Description

Are you excited about making business decisions using science and data? Are you interested in supporting consumer device concepts from idea inception to launch? Do you want to work on a Science Product team focused on scaling statistics and econometrics with custom tools? If so, this may be the role for you!

Amazon.com strives to be Earth's most customer-centric company. The Amazon Devices and Services team focuses on delighting customer by enabling seamless functionality in supplying, entertaining, and managing the home -- and beyond. We seek and hire the world's brightest minds, offering them a fast-paced, technologically-sophisticated, and friendly work environment, where economic theory meets real-world industry.

The Decision Science team in Devices owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support devices and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera ...all prior to launch. We are a cross-functional Product team working to scale Econometrics through Amazon and beyond by incorporating Science into internal facing tools and making it easier for others to do so as well.

In this role, you will have input in decision meetings with Amazon senior leadership, which include go/no-go decisions for brand new devices and services and build volume decisions for manufacture prior to receiving any customer signal. You will have direct input to pricing decisions. You will leverage Science and Tools produced by the Decision Science team such as conjoint demand models to produce these recommendations. You will work with Scientists, Economists, Product Managers, and Software Developers to provide meaningful feedback about stakeholder problems to inform business solutions and increase the velocity, quality, and scope behind our recommendations. You will also have the opportunity to work on special projects to both guide the business and advance your own knowledge and understanding of specific topics.

Key job responsibilities

• Applies expertise to develop econometric/machine learning models to measure the demand of devices and the business;
• Reviews models and results for other scientists, mentors junior scientists;
• Generates economic insights for the Devices and Services business and work with stakeholders to run the business for effectively;
• Describes strategic importance of vision inside and outside of team; and,
• Identifies business opportunities, defines the problem and how to solve it;
• Engages with senior scientists, business leadership outside Devices and Services to understand interplay between different business units.

Basic Qualifications

• PhD in economics or equivalent

Preferred Qualifications

• 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

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, San Jose - 183,000.00 - 247,600.00 USD annually

USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10449741