Summer 2027 Data Scientist Intern - Bachelor's (Austin, TX) (AI)

Location: Austin, TX; relocation eligible.

Company

hirify.global develops materials science and engineering solutions and equipment for semiconductor chips and advanced displays.

What you will do

• Analyze supply chain data to identify trends, opportunities, and actionable insights.
• Write and optimize SQL queries across multiple data sources.
• Develop statistical and machine learning models supporting supply chain decisions.
• Contribute to GenAI and LLM initiatives, including AI-powered search, automation, and reusable business-application components.
• Design dashboards and reports with Tableau, Power BI, or custom tools.
• Partner with stakeholders, translate business needs into technical requirements, and communicate recommendations to technical and non-technical audiences.

Requirements

• Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, Supply Chain Analytics, or another quantitative field.
• Coursework or hands-on experience with databases and data modeling, including RDBMS concepts, keys, relationships, and basic normalization.
• Working knowledge of SQL, including joins, aggregations, and subqueries.
• Working knowledge of Python for data analysis, including Pandas and NumPy.
• Introductory statistics and machine learning fundamentals, including supervised and unsupervised methods, train/test splits, evaluation metrics, distributions, and correlation versus causation.
• Familiarity with data visualization using Tableau, Power BI, or a comparable tool.
• Proactive, curious, collaborative, able to learn a new domain quickly, ask questions, and apply feedback.

Nice to have

• GPA of 3.0 or above.
• Exposure to ETL/ELT, ingestion from multiple sources, and pipeline design.
• Exposure to GenAI and LLMs, including prompting, retrieval-augmented generation, LLM APIs, and output evaluation.
• Familiarity with Git or Bitbucket.
• Coursework or project experience with Databricks, Snowflake, BigQuery, distributed processing, or partitioning concepts.
• Prior supply chain experience, interest in supply chain and operations, or an end-to-end supply chain project.
• Projects using LLM applications, such as RAG pipelines, agents, or evaluation harnesses.
• Public portfolio on GitHub, Kaggle, Tableau Public, or a similar platform.

Culture & Benefits

• Supportive culture focused on learning, development, growth, and innovative solutions.
• Employee health and wellbeing programs and comprehensive benefits.
• Full-time internship with no travel required.
• Applications are reviewed on a rolling basis and the position may close early.

Hiring process

• Apply by November 30, 2026; applications may be reviewed before the deadline.