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Natural Disaster Data Scientist Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

(unknown company)

Data Scientist

Orlando, FL

Experience with ElasticSearch, information/document retrieval, natural language processing is a ... Familiarity with data science frameworks and visualization tools (Pandas, Visualizations ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Looking for candidate making a career in Data Science with experience applying advanced statistics ... Experience with ElasticSearch, information/document retrieval, natural language processing is a ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a ... The ideal candidate will have hands-on experience in building intelligent models using Natural ...

Accroid Inc

Data Scientist

Springfield, VA · On-site

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 ...

Closure Technologies

Data Scientist

Chantilly, VA

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 ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

The role supports programs advancing research and advanced machine learning, natural language processing, and data fusion applications for mission-focused big data analytics. The Data Scientist will ...

Leidos

Data Scientist

Bethesda, MD · On-site

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... natural language processing, and data fusion applications in the areas of mission-focused big data ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

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

InstantServe LLC

Lead Data Scientist

Suitland, MD · On-site

... natural language processing, and generative AI / large language models. The Lead Data Scientist ... ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework ...

Smithsonian Institution

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

The National Museum of Natural History (NMNH) is a major bureau of the Smithsonian Institution that ... Learn more about this agency Duties Help The Data Scientist will apply advanced bioinformatics and ...

JS Consulting

Data Scientist

Washington, DC · On-site

Proficient in Natural language processing (NLP) and Natural language generation (NLG) including ... junior data scientists, in graphical, verbal, or written formats. * Demonstrated experience ...

SAIC

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)

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Natural Disaster Data Scientist information

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$46K

$165K

$243.5K

How much do natural disaster data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for natural disaster data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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.

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 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.

More about Natural Disaster Data Scientist jobs
What cities are hiring for Natural Disaster Data Scientist jobs? Cities with the most Natural Disaster Data Scientist job openings:
What states have the most Natural Disaster Data Scientist jobs? States with the most job openings for Natural Disaster Data Scientist jobs include:
What job categories do people searching Natural Disaster Data Scientist jobs look for? The top searched job categories for Natural Disaster Data Scientist jobs are:
Natural Disaster Data Scientist jobs near you
Infographic showing various Natural Disaster Data Scientist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Conversica, Inc

Seattle, WA • On-site

Full-time

Re-posted 16 days ago

Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications

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