Full Stack AI Data Science Intern
- Role
- Data Science
- Experience
- Entry level
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Remote internship for students or recent graduates to support data-driven product development. Work on data collection/cleaning, building and evaluating statistical and machine learning models, and integrating AI into web or software using Python/R and SQL/NoSQL. Currently pursuing or recently completed a degree in computer science, data science, engineering, mathematics, or a related field.
Core skills
Required skills
Role OverviewThe Full Stack AI Data Science Intern role is a remote internship focused on supporting data-driven product and service development. The intern will assist in building and evaluating statistical and machine learning models, while collaborating with engineers to integrate AI components into web or software applications.ResponsibilitiesCollecting, cleaning, and analyzing data.Assisting in building and evaluating statistical and machine learning models.Collaborating with engineers on integrating AI components into web or software applications.Preparing data visualizations, dashboards, and reports to communicate findings.Writing modular code and contributing to documentation.Experimenting with new tools and frameworks.Participating in code reviews and team meetings.RequirementsStrong analytical skills and demonstrated problem-solving abilities.Solid foundation in statistics and statistical reasoning.Core data science skills, including familiarity with machine learning concepts and workflows.Data analytics and data analysis capabilities with experience in structured and unstructured data.Familiarity with Python or R and basic experience with SQL or NoSQL databases.Understanding of web or software development fundamentals.Currently pursuing or recently completed a degree in computer science, data science, engineering, mathematics, or a related field.SkillsPythonSQLMachine LearningData AnalysisFull Stack Development
What you'll do
- Collecting, cleaning, and analyzing data.
- Assisting in building and evaluating statistical and machine learning models.
- Collaborating with engineers on integrating AI components into web or software applications.
- Preparing data visualizations, dashboards, and reports to communicate findings.
- Writing modular code and contributing to documentation.
What they require
- Strong analytical skills and demonstrated problem-solving abilities.
- Solid foundation in statistics and statistical reasoning.
- Core data science skills, familiarity with machine learning concepts and workflows.
- Familiarity with Python or R; basic experience with SQL or NoSQL databases.
- Currently pursuing or recently completed a degree in computer science, data science, engineering, mathematics, or a related field.