Senior Economist, GM Forecast and Planning

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Senior Economist, GM Forecast and Planning

DESCRIPTION

At Global Mile Expansion team, our vision is to become the carrier of choice for all of our Selling Partners cross-border shipping needs, offering complete set of end to end cross border solutions from key manufacturing hubs to footprint countries supporting business who use Amazon to grow their business globally.

As we expand, the need for comprehensive business insight and robust demand forecasting to aid decision making on asset utilization especially where we know demand will be variable becomes vital, as well as operational excellence.

We are building business models involving large amounts of data and Macro economic inputs to produce the robust forecast to help the operational excellence and continue improving the customer experience. We are looking for an experienced economist who can apply innovative modelling techniques to real-world problems, and convert it to highly business-impacting solutions.

Key job responsibilities
- Experienced in using mathematical and statistical approach to create new, scalable solutions for business problems
- Analyze and extract relevant information from business data to help automate and optimize key processes
- Design, develop and evaluate highly innovative models for predictive learning
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement statistical approaches to understand the business long-term and short-term trend and support the strategies

BASIC QUALIFICATIONS

- PHD in mathematics, economics, applied science, engineering or equivalent
- Industry, consulting, government, or academic research experience
- Design and use of business case models

PREFERRED QUALIFICATIONS

- Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
- Background in statistics methodology, applications to business problems, and/or big data.
- Research track record.
- Effective verbal and written communications skills with both economists and non-economist audiences.
- Experience in developing and executing an analytic vision to solve business-relevant problems

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 () to know more about how we collect, use and transfer the personal data of our candidates.

Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit

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