Jr. Applied Scientist, Minerva Analytics

• Ability to work year-round: part-time during the school year and full-time during the summer.
• Graduation date falls between December 2024 and June 2026.
• Majoring in Computer Science, Statistics or a related STEM discipline.
• Currently enrolled in an accredited college or university Bachelor's degree program.
• Living within commutable distance to San Diego, CA and able to work in-person on a regular bases.

The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job 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 full-time employment will be available at the Amazon corporate sites in San Diego, CA.
The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects:

• We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules.
• 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.
• We offer excellent mentoring. Our full-time 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.

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

• 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.
• Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.
• 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.
• As a Machine Learning 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 Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation.

We are open to hiring candidates to work out of one of the following locations:
San Diego, CA, USA

• Previous technical internship(s).
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
• Effectively articulate technical challenges and solutions.

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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $15/hr in our lowest geographic market up to $75.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.