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Paid Data Science Internship | College Credit | San Antonio

TechNova Analytics
San Antonio
Estimated Salary
USD 18 – USD 22
Live Update
2 Agustus 2026
Deadline
2 Agu 2027

Job Description

Join TechNova Analytics' award-winning data science team and transform your academic knowledge into real-world impact! This paid full-time internship offers unparalleled hands-on experience while earning college credit. Work on cutting-edge projects with Fortune 500 clients in our state-of-the-art San Antonio headquarters. Receive mentorship from senior data scientists, attend exclusive industry workshops, and build a portfolio that will impress future employers.

What We Offer:

  • Competitive hourly pay ($18-22/hr)
  • College credit coordination with your institution
  • Full-time schedule with flexible academic integration
  • Professional development stipend
  • Potential for post-internship conversion

Responsibilities

  • Analyze large datasets using Python, SQL, and statistical modeling tools
  • Develop machine learning algorithms for predictive analytics projects
  • Create data visualizations and executive dashboards using Tableau/Power BI
  • Collaborate with cross-functional teams to define project requirements
  • Present findings to stakeholders through compelling data narratives
  • Document methodologies and maintain reproducible code repositories
  • Participate in agile sprint planning and retrospectives

Qualifications

  • Currently pursuing Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • Minimum 3.0 GPA (transcript required)
  • Proficiency in Python (Pandas, NumPy) and SQL
  • Understanding of machine learning fundamentals (scikit-learn)
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving and analytical thinking abilities
  • Excellent written and verbal communication skills
  • Ability to work 40 hours/week for 3-6 months

Required Skills

Python SQL Machine Learning Data Visualization Statistics Pandas Scikit-learn Tableau Agile Methodologies

Ready to Take This Challenge?

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