The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain onthejob applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development career advisement project collaboration and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role the opportunity for fulltime employment will be available at the Amazon corporate site in Austin TX.
The Jr. Applied Scientist role is part of the Jr. Developer Program a unique internship program in several respects:
We offer work yearround parttime 16 hrs/week) while in school and fulltime 40hrs/week) during summer. Working schedules are flexible and can be rearranged each quarter to accommodate class schedules.
We offer excellent mentoring. Our fulltime applied scientists data scientists business intelligence engineers and software development engineers are willing and able to mentor exceptional student applied scientists data scientists SDEs and BIEs.
Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with real world applied science and machine learning experience.
Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams mentoring offered by experienced Amazonians and the challenge of being a principal contributor to science and software products.
Key job responsibilities
Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the stateoftheart in their respective field of expertise and are constantly focused on advancing that stateoftheart for improving Amazons products and services.
As an Applied Scientist at Amazon you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers teams and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised Unsupervised and Semisupervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory detection estimation.
This individual will analyze large amounts of data discover and solve real world problems and build metrics and business cases around key performance of this program.
The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.
Currently enrolled in an accredited college or university Masters degree program.
Majoring in Computer Science Statistics or a related STEM discipline.
Graduation date falls in May/June 2027 and beyond.
Ability to work yearround: parttime during the school year and fulltime during the summer.
Living within commutable distance to Austin TX and able to work inperson for all hours.
Previous technical internship(s).
Effectively articulate technical challenges and solutions.
Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
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