
Data Scientist Intern
RackspaceJob Location
Job Summary
We are seeking a Data Scientist Intern to support our AI product development by analyzing data, building predictive models, and extracting insights. As a Data Scientist Intern, you will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications. You will have the opportunity to explore, preprocess, and analyze large datasets to derive meaningful insights, build and evaluate machine learning models for AI-driven applications, and communicate findings through reports, dashboards, and visualizations. Our team is passionate about curiosity, ownership, and a drive to improve, and we offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. If you are a recent graduate in Data Science, Computer Science, Physics, or related fields with experience working with Python, SQL, and machine learning libraries, we encourage you to apply for this role.
Key Responsibilities
- Explore, preprocess, and analyze large datasets to derive meaningful insights.
- Build and evaluate machine learning models for AI-driven applications.
- Work on feature engineering and model optimization techniques.
- Collaborate with engineers to deploy models into production.
- Communicate findings through reports, dashboards, and visualizations.
- Work on projects involving LLMs and AI agent integrations.
Qualifications
- Recent graduate in Data Science, Computer Science, Physics, or related fields.
- Experience with Python, SQL, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.).
- Strong understanding of statistics, data analysis, and feature engineering.
- Ability to interpret and communicate complex data-driven insights.
- Knowledge of cloud computing and big data frameworks is a plus.
- Experience working with LLMs and AI agent integration is preferred.
- Strong preference for candidates with experience in OpenAI and Azure environments.
- Full time availability
Why Join Us?
- Hands-on experience with real-world data science projects.
- Work with a team of AI and machine learning experts.
- Exposure to state-of-the-art AI technologies and applications.
- Potential pathway to a full-time position upon completion.