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Geospatial Data Scientist Jobs in Reston, VA (NOW HIRING)

Citian

Transportation Data Scientist

Washington, DC

Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and ... Experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning ...

New

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data ... operations - developing skills in quantitative analysis, spatial statistics, and ML-informed ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data ... operations -- developing skills in quantitative analysis, spatial statistics, and ML-informed ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

SG2 Recruiting

Data Scientist

Burke, VA

Data Scientist (Senior) / Python Developer Location: Springfield, VA Remote Work: No Required ... Geospatial Expertise (ESRI): Our technical stack is built exclusively on the ESRI suite of tools.

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Geo Owl

Data Scientist

Springfield, VA · On-site

Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge ... data science, and space-based custom intelligence solutions. At Geo Owl, we are dedicated to ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Reston, VA

Geospatial Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do geospatial data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for geospatial data scientist in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and GIS tools, and obtaining certifications if needed.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Geospatial Data Scientist position, and why are they important?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

Can data scientists make $300k?

Geospatial Data Scientists with extensive experience, advanced skills in GIS tools, programming, and machine learning can potentially earn $300,000 or more, especially in high-demand industries or senior roles. However, such salaries are typically achieved through seniority, specialized expertise, or leadership positions, and are not common for entry-level or mid-career roles.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing reliance on spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and programming languages like Python or R enhance job prospects in this field, which continues to grow with advancements in technology and data integration.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

A geospatial data scientist analyzes geographic data to identify patterns, trends, and insights using tools like GIS software, programming languages such as Python or R, and spatial databases. They develop models, visualize data on maps, and support decision-making in fields like urban planning, environmental management, and transportation.
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What job categories do people searching Geospatial Data Scientist jobs in Reston, VA look for? The top searched job categories for Geospatial Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Geospatial Data Scientist jobs? Cities near Reston, VA with the most Geospatial Data Scientist job openings:
Geospatial Data Scientist jobs near you

Transportation Data Scientist

Citian

Washington, DC

Other

Posted 2 days ago

Job description

Who You Are:

Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. You have at least 3+ years of data science experience and NLP. You will collaborate with cross-functional teams to enhance our products and services, driving innovation and providing actionable intelligence to meet business goals. If you are passionate about data and are eager to contribute to the success of a startup, we would love to hear from you.

Responsibilities:

  • Model Development: Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.
  • Machine Learning and AI: Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.
  • Data Preprocessing: Clean, preprocess, and transform large datasets to prepare them for analysis and model training.
  • Feature Engineering: Identify and engineer relevant features to enhance model performance and accuracy.
  • Model Deployment and Evaluation: Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
  • Collaboration: Work closely with cross-functional teams, including engineers, product managers, and domain experts, to understand business requirements and deliver data science solutions that meet those needs.
  • Research: Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed.
  • Embrace the startup mentality by wearing multiple hats and stepping outside traditional job roles as needed. Your versatility and willingness to take on diverse responsibilities will be key to our success in a dynamic and evolving landscape.

Qualifications:

  • Bachelor's in Computer Science, Data Science, or a related field
  • 3+ years of experience in machine learning, artificial intelligence, and data science ideally within the transportation industry
  • Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.)
  • Strong knowledge of machine learning techniques, NLP and AI algorithms
  • Experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.)
  • Experience with transformers and LLMs (HuggingFace, GPT, PyTorch, TensorFlow, etc.) and cloud infrastructure platforms such as Snowflake and AWS
  • Demonstrated ability to work in a collaborative team environment
  • Excellent communication and data storytelling skills
  • Strong problem-solving and analytical skills

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