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Summer Data Science Internships Jobs in Missouri

Jobtailor

Data Science Intern

California, MO · On-site

Design and craft data science models to communicate solutions to customers and company leadership ... the internship * At least 6 months experience or academic work using open source programming ...

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Summer Data Science Internships information

What is the difference between Summer Data Science Internships vs Summer Data Analyst Internships?

AspectSummer Data Science InternshipsSummer Data Analyst Internships
Required SkillsProgramming (Python, R), statistics, machine learningExcel, SQL, data visualization
Work EnvironmentResearch-focused, predictive modeling, algorithm developmentData cleaning, reporting, trend analysis
Industry UsageTech, finance, healthcare, academiaBusiness, marketing, finance, consulting

Summer Data Science Internships typically involve advanced analytics, machine learning, and programming, while Summer Data Analyst Internships focus on data cleaning, visualization, and reporting. Both roles are valuable for gaining industry experience but differ in technical depth and project scope.

What are the most commonly searched types of Data Science Internships jobs in Missouri?

The most popular types of Data Science Internships jobs in Missouri are:

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For Summer Data Science Internships jobs in Missouri, the most frequently searched job titles are:

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The top searched job categories for Summer Data Science Internships jobs in Missouri are:

What cities in Missouri are hiring for Summer Data Science Internships jobs?

Cities in Missouri with the most Summer Data Science Internships job openings:

Summer Data Science Internships jobs near you
Infographic showing various Summer Data Science Internships job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Science Intern

Jobtailor

California, MO • On-site

Other

Posted 8 days ago

Job description

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data
  • Integrate internal data with external data sources and APIs to discover and implement actionable insights
  • Design and craft data science models to communicate solutions to customers and company leadership
Requirements
  • Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • Must be continuing in the same course of study of your PhD degree following completion of the internship
  • At least 6 months experience or academic work using open source programming languages for data analysis
  • At least 6 months of experience or academic work using machine learning techniques
  • At least 6 months of experience with either Python, R or SQL
Core Competencies

Demonstrates expertise in data science model design and integration of internal and external data sources to derive actionable insights. Proficient in open-source programming languages and machine learning techniques, with a strong foundation in quantitative analysis.

Highest-signal resume keywords
  • PhD In Quantitative Field
  • Open Source Programming Languages
  • Machine Learning Techniques
  • Python
  • R
Hard Skills
  • Data Analysis
  • Data Science Modeling
  • Statistical Analysis
  • Quantitative Research
  • Analytics
Industry Keywords
  • Business Data
  • Actionable Insights
Tools & Technologies
  • APIs
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