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Summer Geospatial Data Science Intern Jobs in California

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

The Data Analytics Intern will work primarily with the Data Science team but may require cross ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

Efficiently generate spatial calculations and package geospatial data for deliverable submissions ... Bachelor's degree from an accredited college or university with a major in geospatial sciences ...

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

Efficiently generate spatial calculations and package geospatial data for deliverable submissions ... Bachelor's degree from an accredited college or university with a major in geospatial sciences ...

GIS/Geospatial Expert

Palo Alto, CA · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

GIS/Geospatial Expert

San Jose, CA · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

Showing results 41-60

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.

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

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

Data Scientist Intern

Brilent

San Mateo, CA • On-site

Full-time, Internship

Re-posted 12 days ago


Job description

Company Description
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Develop data infrastructure and improve data collection and processing tools and techniques

Qualifications
  • Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
  • Proficient in SQL and able to write complex SQL queries
  • Experience with scripting languages such as Java and Python
  • Excellent problem-solving and analytical skills
  • Curious and creative about data, and comfort with ambiguity

Additional Information
We offer competitive salaries, meals, snacks, etc.