Job Summary:

We are seeking a motivated Backend and Data Science Intern to support the development of backend APIs and contribute to data science model implementation. The ideal candidate will work across cross-functional projects, combining backend engineering with analytical modeling to deliver scalable, data-driven solutions.

Key Responsibilities:

• Design, develop, and maintain backend APIs for ongoing projects
• Collaborate with data science team to implement, test, and optimize machine learning models
• Assist with data preprocessing, feature engineering, and exploratory data analysis
• Integrate machine learning algorithms into production-ready environments
• Document code, workflows, and methodologies for both backend and ML pipelines
• Participate in team discussions to align project deliverables with business goals

Educational Requirements:

• Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field

Preferred Skills and Experience:

• Proficiency in Python and/or R for data analysis and backend development
• Experience with REST APIs and backend frameworks (e.g., Flask, Django, FastAPI)
• Working knowledge of databases and querying languages (e.g., SQL)
• Familiarity with machine learning algorithms such as regression, clustering, decision trees, and neural networks
• Understanding of statistical concepts including hypothesis testing, distributions, and regression analysis
• Experience applying ML models to real-world datasets and interpreting results
• Strong written and verbal communication skills for team coordination and stakeholder engagement
• Prior experience or coursework in cloud platforms, version control (Git), or containerization (e.g., Docker) is a plus

Preferred Skills and Experience:

$15 per hour in Dallas, Texas and equivalent in other states.