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Information Technology 🏢 Internship ⭐️ Verified

Data Science Intern - Summer/Fall 2024

InnovateTech Solutions
Albuquerque
Estimated Salary
USD 18 – USD 22
Live Update
6 Agustus 2026
Deadline
6 Agu 2027

Job Description

Join InnovateTech Solutions' dynamic data science team and transform raw data into actionable insights. Our Albuquerque-based program offers hands-on experience with real-world projects, mentorship from industry experts, and potential conversion to full-time roles. This internship runs from June through December 2024, providing flexible start dates and hybrid work options.

Located in Albuquerque's thriving tech corridor, you'll collaborate with cross-functional teams to develop predictive models, analyze market trends, and drive data-driven decision-making. Our commitment to innovation and professional growth ensures you'll gain cutting-edge skills in machine learning, statistical analysis, and data visualization.

Responsibilities

  • Analyze complex datasets using Python, R, and SQL to identify business opportunities
  • Build and deploy predictive models for customer behavior forecasting
  • Create interactive data visualizations using Tableau and Power BI
  • Collaborate with engineering teams to integrate data solutions into production systems
  • Present findings to stakeholders through clear, compelling data narratives
  • Participate in agile development cycles and contribute to sprint planning

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
  • Strong proficiency in Python (Pandas, NumPy) and SQL
  • Experience with statistical analysis and machine learning frameworks (Scikit-learn, TensorFlow)
  • Familiarity with data visualization tools (Tableau, Power BI)
  • Excellent problem-solving and analytical thinking abilities
  • Ability to work independently and in collaborative team environments
  • Authorization to work in the United States

Required Skills

Python SQL Machine Learning Data Visualization Statistics Predictive Modeling Data Mining

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