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Summer Geospatial Data Science Intern Jobs in Washington

DZYNE Technologies

Data Science Intern

Fairfax, VA · On-site

$27/hr

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a Data Science Intern to support our analytics and database operations. This role focuses on database ...

GRVTY

Geospatial Data Scientist

Mclean, VA

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Maxar

Geospatial Data Scientist

Mclean, VA

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

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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.

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Summer Geospatial Data Science Intern jobs near you
Data Science Intern

Data Science Intern

DZYNE Technologies LLC.

Fairfax, VA

$27/hr

Full-time, Internship

Posted 19 days ago

Job description

About DZYNE
DZYNE Technologies is leading the future of autonomous defense. Based in Irvine, California, we develop and manufacture advanced airborne and ground-based defense solutions deployed in over 50 countries. Backed by U.S. Government Programs of Record, our technologies are field-proven, scalable, and production-ready.
We’re growing fast, and looking for innovators ready to make an impact. At DZYNE, you’ll join a culture built on collaboration, integrity, and purpose. We celebrate wins, value diverse perspectives, and support every team member’s success.
Ready to do work that matters? Join us.
Position Title: Data Science Intern
Location: Fairfax, VA
Work Arrangement: On-site
Overview:
We are seeking a Data Science Intern to support our analytics and database operations. This role focuses on database management, data pipelines, and modeling techniques
Responsibilities:
  • Assist with data parsing and database construction
  • Write and optimize SQL queries for data extraction and analysis
  • Help build and test predictive models and analytical tools
Required Skills/Qualifications:
  • Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
  • Basic experience with SQL and relational databases
  • Familiarity with Python or R for data analysis
  • Understanding of data structures, analytics concepts, and statistical techniques
Preferred Skills/Qualifications:
  • Experience with database tools such as PostgreSQL, MySQL, or SQL Server
  • Exposure to machine learning libraries (pandas, NumPy, scikit‑learn, etc.)
  • Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
  • Understanding of ETL processes or data pipeline concepts
Working Conditions:
The diversity of work conditions may range from an environment where there is little or no physical discomfort, such as a general office environment, to warehouse and other facilities.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
  • Must have the ability to stoop, stand, climb, occasionally lift a minimum of 25 lbs.
  • Involves movement between departments, floors, and worksites to facilitate work.
Work Authorization Requirement:
Candidates must be legally authorized to work in the United States on a full-time basis without the need for current or future employment visa sponsorship.
Hourly Rate: $27.00
Hourly rate depends on relevant work experience, education, training, essential skills, and/or other factors such as specialized or high-demand professions. In addition to the annual salary, the position will be eligible for an annual bonus. The pay range for this job level is a general guideline only and not a guarantee of salary or annual bonus.
DZYNE Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, disability, or protected veteran status. In addition to federal law requirements, DZYNE Technologies complies with applicable state and local laws governing nondiscrimination in employment in every location in which our company has facilities. This policy applies to all terms and conditions of employment.
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