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Paid Data Science Internship - Omaha, NE

Omaha Analytics Group
Omaha
Estimated Salary
USD 20 – USD 25
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join Omaha Analytics Group's award-winning data science team and transform raw data into actionable business insights. We're urgently hiring motivated interns to work on real-world projects for Fortune 500 clients across Omaha and Texas. This paid internship offers mentorship from industry experts, flexible scheduling, and potential full-time conversion.

Our interns gain hands-on experience with Python, SQL, and machine learning frameworks while contributing to projects that impact healthcare, finance, and retail sectors. Enjoy a collaborative startup environment with competitive compensation and professional development opportunities.

Responsibilities

  • Analyze complex datasets using Python, SQL, and statistical modeling tools
  • Develop predictive models to solve business challenges for Omaha-based clients
  • Create interactive data visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams on Texas market expansion projects
  • Present findings to stakeholders through executive dashboards and reports
  • Implement A/B testing frameworks to optimize marketing campaigns
  • Document methodologies and maintain reproducible workflows

Qualifications

  • Currently pursuing Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field
  • Proficiency in Python (Pandas, NumPy) and SQL (MySQL, PostgreSQL)
  • Experience with data visualization tools (Tableau, Power BI, or Matplotlib)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently and in collaborative environments
  • Knowledge of machine learning algorithms (scikit-learn, TensorFlow) preferred
  • Must be authorized to work in the United States
  • Available for 20+ hours/week during internship period

Required Skills

Python SQL Data Analysis Machine Learning Tableau Statistics Data Visualization Problem Solving

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