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
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