Masters Data Analytics Intern — AI Insights Co-op (Hybrid)

AMD; Austin (TX); Hybrid; USD 28,000 - 41,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

AMD invites motivated students to join a Co-op program in Austin, TX, that blends hands-on data analytics work with mentorship from AI and data science experts. You will analyze data, build proofs of concept, and contribute to dashboards and reporting for real-world impact.

Open to Master’s students in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineering, or Computer Science, with skills in Python, SQL, R, Java, and data visualization tools.

Qualifications

• Enrolled in a US-based university pursuing a Master’s degree in a related field.
• Knowledge of Python, SQL, R, or Java.
• Experience with data processing, data engineering, or data science.
• Familiarity with Kubernetes, Tableau, Power BI, Azure and AKS.
• Experience with database design and data modeling.

Responsibilities

• Analyze and organize raw data to craft proofs of concepts, prototypes, and implement solutions using relevant analysis methods and visualization techniques.
• Engage in data analysis tasks and report results; build data for prescriptive and predictive modeling to generate business foresights.
• Create reports, presentations and dashboards using data visualization tools.

Skills

Python

SQL

R

Java

Data processing

Data engineering

Data science

Education

Master’s degree in Data Analytics/Data Engineering/Computer Science

Tools

Kubernetes

Tableau

Power BI

Azure/AKS

Snowflake

Oracle/SQL Server

Job description

AMD invites motivated students to join a Co-op program in Austin, TX, that blends hands-on data analytics work with mentorship from AI and data science experts. You will analyze data, build proofs of concept, and contribute to dashboards and reporting for real-world impact.

Open to Master’s students in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineering, or Computer Science, with skills in Python, SQL, R, Java, and data visualization tools.