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Gis Machine Learning Jobs in Virginia (NOW HIRING)

Esri

Federal Account Manager - Public Sector

Vienna, VA · On-site

$104K - $187K/yr

... GIS, you will apply your selling skills to address a huge transformation in technological capabilities across the public sector that includes Artificial Intelligence (AI) and Machine Learning (ML ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience with machine learning and predictive analytics. * Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS ...

GeoDelphi

Experience with machine learning and predictive analytics. * Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience with machine learning and predictive analytics. * Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS ...

ECS

Full Stack Developer

Springfield, VA · On-site

Airflow, Django, Elasticsearch, Kibana, PostgreSQL) • Experience with Geographic Information System (GIS) data • Experience with Machine Learning (ML) algorithms Company : Everforth ECS is the ...

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Gis Machine Learning information

What are GIS Machine Learning jobs?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning Specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Virginia? For Gis Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Virginia look for? The top searched job categories for Gis Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Gis Machine Learning jobs? Cities in Virginia with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

Data Scientist with Security Clearance

NS2 Mission

Virginia Beach, VA • On-site

Other

Posted 11 days ago

Job description

Are you passionate about transforming raw data into actionable insights? If you thrive on extracting knowledge from complex datasets and possess a knack for predictive modeling, we have an exciting opportunity for you. Join NS2 Mission as a Data Scientist, where you'll play a crucial role in unlocking the power of data to drive informed decision-making and shape the future of our analytics initiatives. You will be supporting the team on-site in Virginia Beach, VA. Required Skills and Experience: * Strong expertise with Python and leveraging a variety of Python data analysis packages to include Pandas and/or Polars.
* Extensive knowledge of appropriate analytic methods and methodological tools in one or more of the following areas: * Applied Mathematics (e.g., probability and statistics, formal modeling, computational social sciences)
* Computer Programming (e.g., programming languages, math/statistics packages, computer science, machine learning, scientific computing)
* Visualization (e.g., GIS/geospatial analysis, telemetry analysis) * Broad familiarity with contemporary database options like Postgres.
* Experience using non-local, cloud development environments.
* Experience working with distributed computing frameworks like Spark and data engineering technologies like Airflow.
* Experience with statistical risk assessments and scoring methods.
* Experience sharing and presenting resulting data insights in a digestible manner to customers.
* Experience working with a software development team to translate results from data science methodologies to lightweight applications. * 9 - 12+ years of experience in data science, data engineering or related technical fields.
* TS/SCI Clearance required. Desired Skills and Experience: * Bachelor's degree in data science, Data Engineering or related field, or equivalent experience.
* On-the-job experience exhibiting communication skills, both oral and written, as well as making presentations to small audiences.
* Experience with developing lightweight applications (e.g. Streamlit) for sharing data science workflows and analytics.
* Experience working with Palantir Foundry.
* Familiarity of internet architecture and concepts.
* Experience developing machine learning models from inception and design, training, and testing, and through deployment.
* Experience working independently. Position Clearance Requirement: TS/SCI Please be aware many of our positions require the ability to obtain or maintain a U.S security clearance which requires U.S citizenship. We win with inclusion NS2 Mission's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

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