3+ years of analytical experience with:
- R and Python programming (web scrapping, statistics, data manipulation and visualization, Markdown notebooks, machine learning, forecasting).
- Proficient with Microsoft Excel and with extracting and processing data using SQL/Redshift.
- Fluent English and Spanish (both spoken and written)
- Bachelor's degree in Applied mathematics, Data Science, Statistics, Supply Chain or related field.
- 2+ years of experience in the Supply Chain Area.
Job summary
Have you ever ordered a product on Amazon and wondered how it got delivered to you so fast?
Have you ever wondered how Amazon designs its delivery network to scale and reliably gets hundreds of millions of packages to customers' doorstep?
Are you obsessed with designing and building complex delivery solutions and solving challenging problems?
If so, the Amazon Transportation Volume Planning team is for you!
Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology, program management and engineering expertise.
We aim to leverage cutting edge technologies, optimization techniques and data analysis, to innovate at a rapid pace setting up a last mile delivery network of the future.
We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner.
- Familiarity with Transportation and Supply Chain management concepts - network design & optimization - gained through work experience or education.
- Results-oriented, makes things happen, ability to move fast, innovate and simplify.
- Ability to handle multiple competing priorities and projects in a fast-paced environment.
- Customer focus and professional demeanor.
- A work ethic based on a strong desire to exceed expectations.
- Interpersonal skills, including written and oral communication skills.
Amazon is committed to a diverse and inclusive workforce.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.