Senior Economist

Amazon; Los Angeles (CA); On-site; USD 159,200 - 215,300; Full time

Job summary

Amazon seeks an experienced economist in Los Angeles to build econometric models and tackle complex business challenges. The role emphasizes collaboration with cross-functional teams and senior management to address quantitative issues across various sectors.

The ideal candidate will have a PhD in economics, strong analytical skills, and significant experience in econometric analysis, with a proven ability to communicate findings effectively to diverse audiences.

Qualifications

• 5+ years of relevant research science experience post-PhD.
• Deep knowledge of econometric analysis, pricing, and competition.
• Strong background in working with large data sets.

Responsibilities

• Partner with teams to solve complex business problems.
• Build econometric models using large data sets.
• Contribute to the design of automated systems.

Skills

Econometric analysis

Statistics methodology

Communication skills

Education

PhD in economics or equivalent

Job description

Job ID: 10427276 | Amazon.com Services LLC

Amazon.com strives to be Earth's most customer‑centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast‑paced, technologically sophisticated and friendly work environment.

Economists at Amazon partner closely with senior management, business stakeholders, scientists and engineers, and economist leadership to solve key business problems across Amazon Web Services, Kindle, Prime, inventory planning, international retail, third‑party merchants, search, pricing, labor and employment planning, and beyond. Economists build econometric models using world‑class data systems and apply techniques from applied macro/time‑series, applied micro, econometric theory, empirical IO, empirical health, labor, and public economics.

Responsibilities

• Partner with senior management and cross‑functional teams to solve business problems.
• Build econometric models and develop techniques that apply econometrics to large data sets.
• Address quantitative problems and contribute to the design of automated systems around the company.

Basic Qualifications

• PhD in economics or equivalent.

Preferred Qualifications

• 5+ years of relevant, broad research science experience after PhD degree or equivalent.
• Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
• Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
• Strong background in statistics methodology, applications to business problems, and/or big data.
• Ability to work in a fast‑paced business environment.
• Strong research track record.
• Effective verbal and written communications skills with both economists and non‑economist audiences.

Salary

• Los Angeles, CA: $159,200.00 – $215,300.00 USD annually
• San Francisco, CA: $183,000.00 – $247,600.00 USD annually
• San Mesa, CA: $183,000.00 – $247,600.00 USD annually
• Sunnyvale, CA: $183,000.00 – $247,600.00 USD annually
• Boston, MA: $159,200.00 – $215,300.00 USD annually
• New York, NY: $175,100.00 – $236,900.00 USD annually
• Austin, TX: $159,200.00 – $215,300.00 USD annually
• Arlington, VA: $159,200.00 – $215,300.00 USD annually
• Bellevue, WA: $159,200.00 – $215,300.00 USD annually
• Seattle, WA: $159,200.00 – $215,300.00 USD annually

Job Duties for Los Angeles County Applicants

Work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully; and follow all federal, state, and local laws and Company policies. Employees must exhibit trustworthiness, professionalism, and the ability to manage stress and work safely and respectfully with others.

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

We consider for employment qualified applicants with arrest and conviction records under the Los Angeles County and San Francisco Fair Chance Ordinances.