Jr. Data Scientist

Jr. Data Scientist at Amazon

The Jr. Data Scientist role at Amazon offers a unique employment opportunity for students to gain valuable on-the-job data science and analytics experience while completing their education. This program provides excellent mentoring within an Amazon team, allowing participants to work on exciting, meaningful projects that directly impact real Amazon customers. Each Jr. Data Scientist is paired 1:1 with an Amazon Jr. Data Science Mentor, receiving guidance and support across all aspects of their role, including skill development, career advisement, and project collaboration. Upon successful completion of the Jr. Data Scientist Program, opportunities for full-time employment may be available at an Amazon corporate site.

This role is an integral part of the Jr. Developer Program, a distinctive internship program with several key features:

• We offer year-round employment, with part-time hours (16 hrs/week) during the academic year and full-time hours (40 hrs/week) during the summer.
• Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules.
• Participants benefit from excellent mentoring provided by full-time data scientists, applied scientists, and business intelligence engineers.
• Jr. Data Scientists are given responsibilities that prepare them to enter the workforce after graduation with substantial “real world” data science and analytics experience.

Participants consistently acknowledge the valuable learning experience fostered by the high caliber of their teams, the mentorship offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products.

Key job responsibilities

• Create data pipelines for reports, analyze massive-scale data, and leverage knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL and Excel.
• Analyze and translate data into meaningful insights, making sense of results and explaining them to key stakeholders such as scientists, product managers, and engineers.
• Analyze large datasets, discover and solve real-world problems, and build metrics and business cases around the program's key performance.
• Utilize a customer-backward approach to derive insights and identify actions that improve customer experience and program conversion.

Basic Qualifications

• Currently enrolled in an accredited college or university Master's program.
• Majoring in Data Science, Computer Science, or a related STEM discipline.
• Graduating in June 2027 and beyond.
• Ability to work year-round: part-time during the school year and full-time during the summer.
• This role is not offered as remote or hybrid; working hours must be conducted in our corporate office in Austin, TX.
• Living within commutable distance to Austin, TX.

Preferred Qualifications

• Previous technical internship(s).
• Ability to effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems and thinking abstractly.

Key skills/competency

• Data Analysis
• Machine Learning
• Advanced Analytics
• SQL
• Excel
• Data Pipelines
• Reporting
• Business Intelligence
• Customer Insights
• Stakeholder Communication