1

Natural Disaster Data Scientist Jobs in Virginia

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data ... Experience developing and deploying Machine Learning (ML), Deep Learning (DL), Natural Language ...

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... Experience in working with artificial intelligence, machine learning, natural language processing ...

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

Data Scientist Reston, VA Active TS/SCI with Poly Clearance required @Orchard is retained by a top ... Expand existing Natural Language Processing (NLP) to include new entities and improved ...

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Build statistical and machine learning models, conducting natural language processing (NLP), and ... with knowledge of computer science concepts, data architecture, and statistical methods.

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Build statistical and machine learning models, conducting natural language processing (NLP), and ... with knowledge of computer science concepts, data architecture, and statistical methods.

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... in natural language processing (NLP) • Understanding of database management systems • ...

Data Scientist General Information Requisition #715 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 713 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 714 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 716 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Leads artificial intelligence activities such as natural language processing, predictive analytics ... Expert proficiency in common data science tools, including scripted languages (such as SQL, Python ...

Leads artificial intelligence activities such as natural language processing, predictive analytics ... Expert proficiency in common data science tools, including scripted languages (such as Python, R ...

Leads artificial intelligence activities such as natural language processing, predictive analytics ... Expert proficiency in common data science tools, including scripted languages (such as Python, R ...

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... in natural language processing (NLP) • Understanding of database management systems • ...

next page

Showing results 1-20

Natural Disaster Data Scientist information

What is a natural disaster data scientist?

A Natural Disaster Data Scientist is a professional who analyzes large sets of data related to natural disasters such as earthquakes, hurricanes, floods, and wildfires. They use statistical models, machine learning, and other analytical techniques to predict, understand, and mitigate the impact of these disasters. Their work often helps emergency responders, government agencies, and researchers prepare for and respond to natural disasters more effectively. By interpreting satellite images, sensor data, and historical records, they provide valuable insights for disaster risk reduction and management.

What are the key skills and qualifications needed to thrive as a natural disaster data scientist?

To thrive as a Natural Disaster Data Scientist, you need expertise in data analysis, statistical modeling, and geospatial techniques, typically supported by a degree in data science, statistics, or a related field. Familiarity with programming languages like Python or R, GIS tools such as ArcGIS or QGIS, and experience with machine learning frameworks are commonly required. Strong problem-solving abilities, effective communication, and collaboration skills help you interpret complex data and convey findings to diverse stakeholders. These skills are crucial for accurately predicting, assessing, and mitigating the impacts of natural disasters to support informed decision-making and public safety.

How does a natural disaster data scientist typically collaborate with emergency management teams?

Natural Disaster Data Scientists often work closely with emergency management teams by providing real-time data analysis, predictive modeling, and risk assessment insights. They translate complex datasets—such as weather patterns, seismic activity, and historical disaster occurrences—into actionable recommendations that help teams make informed decisions during crisis situations. Collaboration may involve regular briefings, developing dashboards or visualization tools, and participating in multidisciplinary planning meetings to ensure data-driven strategies are integrated into response efforts. This teamwork is essential for improving preparedness and minimizing the impact of natural disasters.

What is the difference between Natural Disaster Data Scientist vs Climate Data Analyst?

AspectNatural Disaster Data ScientistClimate Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Environmental Science, or related fieldsBachelor's or Master's in Environmental Science, Climatology, or related fields
Work EnvironmentResearch institutions, government agencies, disaster response organizationsEnvironmental agencies, research institutions, policy organizations
Employer & Industry UsageFocuses on analyzing data related to natural disasters like hurricanes, earthquakes, floodsFocuses on climate patterns, long-term climate change data, and environmental impact

While both roles involve analyzing environmental data, a Natural Disaster Data Scientist specializes in real-time disaster prediction and response data, whereas a Climate Data Analyst focuses on long-term climate trends and environmental impacts. Both roles require strong data analysis skills and environmental knowledge but serve different purposes within the broader field of environmental science.

What are popular job titles related to Natural Disaster Data Scientist jobs in Virginia?

For Natural Disaster Data Scientist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Natural Disaster Data Scientist jobs in Virginia look for?

The top searched job categories for Natural Disaster Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Natural Disaster Data Scientist jobs?

Cities in Virginia with the most Natural Disaster Data Scientist job openings:

Data Scientist

Accroid Inc

Springfield, VA • On-site

Other

Posted 29 days ago


Job description

Data Scientist (Active TS/SCI Clearance)< class="" data-start="53" data-end="82">Top Mandatory Skills
  • 8+ years of experience in Data Science, Machine Learning, or Analytics
  • Strong foundation in Statistics, Probability, Graph Theory, or Calculus for developing and validating ML algorithms and models.
  • Proficiency in Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
  • Experience developing and deploying Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision models.
  • Experience with Signal Processing, Geospatial Analytics, Object Detection, Anomaly Detection, and Predictive Analytics.
  • Strong experience building end-to-end data pipelines, from data ingestion to deployment and visualization.
  • Experience working with structured and unstructured data.
  • Hands-on experience with Python APIs, Docker, Visual Studio Code, Jupyter, GitLab, Git, and CI/CD pipelines.
  • Bachelor''s degree in Data Science, Computer Science, Engineering, or a related field.
< data-start="1082" data-end="1107">Preferred Skills
  • Experience supporting DoD, Intelligence Community, or Federal environments.
  • Experience with AWS/Azure, FastAPI, REST APIs, Edge AI, and Agile methodologies.