Data Scientist, Prime Air

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.

How do you get items to customers quickly, cost-effectively, and-most importantly-safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what's to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-deliver...).

If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.

Come work on the Amazon Prime Air Team!

Prime Air is seeking an experienced Data Scientist to manage data diversity and quality for developing Prime Airs perception system. You will work closely with a team of Scientists, Software Engineers as well as data collection and annotation teams to evaluate the performance of Machine Learning and Computer Vision models. Insisting on the highest standard is an important part of the day-to-day work as we focus on the accuracy of work, metrics and quality improvements.

Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf.

BASIC QUALIFICATIONS

- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field

- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance

- Fluent with data querying languages (e.g. SQL) and scripting languages (e.g. Python)

- Experience developing and evaluating data annotation and data quality metrics

- Experience building large scale data pipelines

PREFERRED QUALIFICATIONS

- Experience with statistical/mathematical software (e.g. R, SAS, Matlab, etc.)

- Experience with image processing and 3D visualization software

- Experience leading a team of data analysts

- Ability to drive cross-team consensus

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