Amazon
Senior Economist, Global Talent Management and Compensation
Amazon, Seattle, Washington, us, 98127
Senior Economist, Global Talent Management and Compensation
Job ID: 2832149 | Amazon.com Services LLCAmazon's Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) builds science models supporting employee career-related experiences such as their evaluation, learning and development, onboarding, and promotion for Amazonians. Additionally, the team conducts experiments for a wide range of employee and talent-related product features, and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon.
Amazon's GTMC team is looking for Economists who are highly specialized in the field of macroeconomics and time series forecasting. The economist will enhance science models by enabling them to adapt to external talent dynamics, enabling personalized, consistent, and high-impact employee experiences across the talent lifecycle. This will make the models more responsive to evolving market conditions and enhance the alignment of Amazon-wide talent strategies with team and organization-specific strategic objectives.
Key job responsibilitiesThe Economists within GTMC will be primarily involved in building advanced forecasting and time series models that account for the nuances of aggregate econometric modeling within the HR space. This includes modeling the inter-relationship of various talent outcomes, as well as scenario planning and modeling tasks to quantify the implications of external macro as well as industry-level shocks on key HR talent outcomes.
The economists will closely collaborate with a range of scientists from different backgrounds, as well as program and product leaders, to implement and assess the science solutions into the company's products.BASIC QUALIFICATIONS
- PhD in economics or equivalentPREFERRED 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 researchAmazon 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.Compensation InformationOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.Posted:
November 13, 2024 (Updated 4 days ago)
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Job ID: 2832149 | Amazon.com Services LLCAmazon's Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) builds science models supporting employee career-related experiences such as their evaluation, learning and development, onboarding, and promotion for Amazonians. Additionally, the team conducts experiments for a wide range of employee and talent-related product features, and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon.
Amazon's GTMC team is looking for Economists who are highly specialized in the field of macroeconomics and time series forecasting. The economist will enhance science models by enabling them to adapt to external talent dynamics, enabling personalized, consistent, and high-impact employee experiences across the talent lifecycle. This will make the models more responsive to evolving market conditions and enhance the alignment of Amazon-wide talent strategies with team and organization-specific strategic objectives.
Key job responsibilitiesThe Economists within GTMC will be primarily involved in building advanced forecasting and time series models that account for the nuances of aggregate econometric modeling within the HR space. This includes modeling the inter-relationship of various talent outcomes, as well as scenario planning and modeling tasks to quantify the implications of external macro as well as industry-level shocks on key HR talent outcomes.
The economists will closely collaborate with a range of scientists from different backgrounds, as well as program and product leaders, to implement and assess the science solutions into the company's products.BASIC QUALIFICATIONS
- PhD in economics or equivalentPREFERRED 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 researchAmazon 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.Compensation InformationOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.Posted:
November 13, 2024 (Updated 4 days ago)
#J-18808-Ljbffr