[Hiring] Data Science Intern @Rocket Companies

Role Description

Interns at the Rock Family of Companies gain priceless hands-on experience. Here, they learn how it feels to be in the workplace, participate in events and become a valuable member of our team.

• Learn about our business by attending meetings, huddles and trainings.
• Share creative ideas that will help improve our business.
• Deliver reports, analyze metrics and summarize information to help drive our team forward.
• Assist in creating materials and/or presentations for meetings.
• Take notes during meetings and provide recaps.
• Collaborate with data scientists and data engineers to build, evaluate, and refine AI and machine learning models, with a focus on large language model (LLM) applications and retrieval-augmented generation (RAG) pipelines.
• Assist in designing and implementing data preprocessing, feature engineering, and model evaluation workflows.
• Write clean, well-documented code in Python (or other relevant programming languages) to support data analysis, model prototyping, and automation tasks.
• Leverage AI-powered coding and productivity tools (e.g., Claude Code, GitHub Copilot) to accelerate development and maintain code quality.
• Partner with internal clients and business stakeholders to understand requirements, translate business questions into analytical frameworks, and communicate findings clearly.
• Perform exploratory data analysis and apply statistical methods to extract insights from structured and unstructured data sources.
• Query and manipulate data from relational databases and other data stores to support analysis and model development.

Qualifications

• Currently pursuing a Bachelor's (Senior Level) or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Foundational understanding of large language models (LLMs), including concepts such as prompt engineering, fine-tuning, embeddings, and token-based architectures.
• Familiarity with retrieval-augmented generation (RAG) patterns and their application in building context-aware AI systems.
• Solid grounding in basic statistics and probability, including hypothesis testing, regression analysis, distributions, and exploratory data analysis.
• Hands-on programming experience in Python (preferred) or another language commonly used in data science (e.g., R, SQL, Julia).
• Working knowledge of relational databases and SQL for data querying and manipulation.
• Experience with or willingness to adopt AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, or similar.
• Experience with machine learning libraries and frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face Transformers.
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker).
• Experience with version control systems (Git) and collaborative development workflows.
• A portfolio of personal projects, coursework, or open-source contributions demonstrating applied data science or AI work.

Benefits

• Health and well-being support for you and your family.
• Comprehensive perks and health benefits for peace of mind.
• Support for living your best life.

Company Description

We are Xome, a subsidiary of Rocket, and a leading innovator in the real estate industry, committed to transforming the way people buy and sell homes. Our company headquarters is in Lewisville, Texas. We leverage cutting-edge technology to streamline the real estate process, making it more transparent, efficient, and user-friendly. Our platform connects buyers and sellers directly, offering comprehensive property data, seamless real estate auction transaction capabilities, and expert support to ensure a smooth experience from start to finish.