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Natural Disaster Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Experience with natural language processing (NLP), machine learning, and data visualization.

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Experience with natural language processing (NLP), machine learning, and data visualization.

... with natural language processing (NLP), machine learning, and data visualization. • Knowledge of SQL and database management. • Ability to interpret and present complex data clearly to both ...

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

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 ...

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 ...

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 ...

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)

... big data, natural language processing, machine translation, time sequenced data, and advanced ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI). * The ideal candidate will have hands-on experience with ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... engineering * natural language processing (NLP) * large languagemodels (LLMs) and any other ...

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

The role of Data Scientist involves applying innovative AI methodologies to solve real-world ... natural language processing, and learning on graphs • Experience with Modern ML and Research ...

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

Using our customers' data and advanced data science, we are building products that allow our ... A natural curiosity for "connecting the dots" and a passion for creative problem-solving. * A ...

We are seeking a Senior Data Scientist with strong expertise in developing marketing models and Natural Language Processing (NLP) solutions. This role will focus on leveraging data-driven insights to ...

Data Scientist

New York, NY · On-site

$160K - $190K/yr

Data Scientist As a Data Scientist, you will analyze a rich array of real-world data to inform our ... Your models will directly prevent wildfires and mitigate disaster risks across millions of ...

Using our customers' data and advanced data science, we are building products that allow our ... A natural curiosity for "connecting the dots" and a passion for creative problem-solving. * A ...

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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 Jun 9, 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, and why are they important?

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:
Data Scientist

Full-time

Posted 18 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