AI-Powered Analytics Engineer Intern

IDMe; Mountain View (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

ID.me in Mountain View, CA is hiring an Analytics Engineer Intern to help build AI-enabled analytics tools and conversational chatbots on our modern data stack. You’ll work with analytics engineers, data analysts, and data engineers to automate pipelines and surface insights that improve the member experience.

You will gain hands-on experience with AI-powered analytics and data governance while receiving mentorship from seasoned engineers, with a portfolio-ready project to showcase your成果 to the

Qualifications

• College junior expected graduation year 2028, pursuing a Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Statistics, Math, or related quantitative field.
• Interest in AI and large language models, including prompting and building simple applications on top of them.
• Basic understanding of data modeling and data warehousing concepts.

Responsibilities

• Build conversational analytics chatbots that let teams ask questions of data in plain language and get trusted answers.
• Automate data pipeline tasks such as testing, documentation, and monitoring using AI tools.
• Develop detection agents that surface data quality problems and anomalies.
• Apply domain-driven design to improve data models, metric definitions, and metadata.
• Partner with analysts, engineers, and data scientists to understand needs and gather feedback.
• Document your work and present results to the team.

Skills

Interest in AI/LLMs

Data modeling basics

Education

Pursuing BS in CS/SE/Data Science

Job description

ID.me in Mountain View, CA is hiring an Analytics Engineer Intern to help build AI-enabled analytics tools and conversational chatbots on our modern data stack. You’ll work with analytics engineers, data analysts, and data engineers to automate pipelines and surface insights that improve the member experience.

You will gain hands-on experience with AI-powered analytics and data governance while receiving mentorship from seasoned engineers, with a portfolio-ready project to showcase your成果 to the