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Internship Geospatial Data Scientist Jobs in Florida

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. Education: * A Master's degree in Data Science, Machine ...

Celestar, a B&A Company, is seeking a Geospatial Data Engineer to support USSOUTHCOM J26 ENHANCED ... A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 ...

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

Working knowledge of Esri ArcGIS Enterprise systems and data steward tools, catalogs, techniques, and processes. Education: * A Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing ...

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Internship Geospatial Data Scientist information

What is an internship geospatial data scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an internship geospatial data scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an internship geospatial data scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

What are the most commonly searched types of Geospatial Data Scientist jobs in Florida? The most popular types of Geospatial Data Scientist jobs in Florida are:
What cities in Florida are hiring for Internship Geospatial Data Scientist jobs? Cities in Florida with the most Internship Geospatial Data Scientist job openings:

Data Scientist

kgs

Cape Canaveral, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Data Scientist with a Secret security clearance to support KITS and our government customer at Stennis Space Center, MS.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems.

The Data Scientist will be responsible for developing and implementing advanced analytical solutions, with a particular focus on geospatial data analysis and modeling.

Key responsibilities include:

  • Design and implement machine learning models and statistical analyses
  • Develop predictive models and data-driven solutions
  • Process and analyze large-scale geospatial datasets
  • Create data visualization and reporting solutions
  • Conduct exploratory data analysis
  • Develop and maintain analytical pipelines
  • Collaborate with cross-functional teams to understand requirements
  • Transform complex data into actionable insights
  • Optimize existing models and analytical processes
  • Document methodologies and findings
  • Present technical findings to stakeholders

Education and Experience:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in data science or related field
  • Proven experience with machine learning and statistical modeling
  • Strong background in geospatial analysis
  • Demonstrated track record of successful analytical projects

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Required Skills and Competencies:

  • Python, R, or similar programming languages
  • Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
  • Statistical analysis and modeling
  • Data visualization tools (Matplotlib, Seaborn, Plotly)
  • SQL and database querying
  • Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK)
  • ESRI ArcGIS suite of commercial software components
  • ArcGIS Runtime
  • ArcGIS Engine
  • ArcGIS extensions including: 3-D Analyst
  • Geostatistical Analyst
  • Network Analyst
  • Spatial Analyst
  • Tracking Analyst
  • ArcGIS Server
  • Experience with:
  • Spatial statistics and analysis
  • Big data processing tools
  • Version control systems (Git)
  • Jupyter notebooks
  • Data preprocessing and feature engineering
  • Model evaluation and validation techniques
  • Strong analytical and problem-solving skills
  • Excellent communication abilities
  • Must be able to work on-site at Stennis Space Center, MS

Clearance Requirement:

  • Secret security clearanceย 

Desired Skills and Competencies:

  • Deep learning techniques
  • Computer vision
  • Natural language processing
  • Cloud computing platforms (AWS, Azure, GCP)
  • Big data technologies (Hadoop, Spark)
  • Remote sensing data analysis
  • Time series analysis
  • Spatial modeling
  • Bayesian statistics
  • Knowledge of:
  • Data engineering principles
  • MLOps practices
  • Distributed computing
  • High-performance computing
  • Image processing
  • Familiarity with:
  • Federal data standards
  • Research methodology
  • Scientific computing
  • Geospatial data formats and standards
  • Publications in peer-reviewed journals
  • Federal government contract experience
  • Security clearance or ability to obtain one
  • Relevant certifications in data science or machine learning

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Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail atย accommodations@koniag-gs.comย or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visitย www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled.ย Shareholder Preference in accordance with Public Law 88-352