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Summer Geospatial Data Science Intern Jobs in Missouri

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 ...

The role combines data science, statistical modeling, geospatial analysis, and business expertise to optimize the branch and ATM network and support strategic decision-making. Responsible for ...

New

Data Scientist

California, MO · On-site

$76 - $130/hr

Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language) Bachelor's Degree or equivalent experience | Required Required Work Arrangement Hybrid roles in Birmingham, AL ...

Data Scientist - Mid

Saint Louis, MO · On-site

$69K - $141K/yr

Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). Join a collaborative team turning large, complex geospatial datasets into insights ...

New

Senior Data Scientist

Saint Louis, MO · On-site

$82K - $172K/yr

Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage. Collaborate directly with analysts and mission users to shape analytic ...

New

This role combines enterprise data engineering, geospatial technology, and mission impact, giving ... Bachelor's degree in computer science, mathematics, GIS, or related STEM field Recommended ...

This role combines enterprise data engineering, geospatial technology, and mission impact, giving ... Bachelor's degree in computer science, mathematics, GIS, or related STEM field Recommended ...

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Summer Geospatial Data Science Intern information

What is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

What job categories do people searching Summer Geospatial Data Science Intern jobs in Missouri look for?

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

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

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

Infographic showing various Summer Geospatial Data Science Intern job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Science Intern

Jobtailor

California, MO • On-site

Other

Posted 12 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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