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Natural Disaster Data Scientist Jobs (NOW HIRING)

Neara

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 ...

WellSky

Data Scientist

Overland Park, KS · On-site

... through natural language. The role blends applied data science, large language model (LLM ... evaluation, and platform engineering to make high-value insights accessible and trustworthy at ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

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 • ...

Elder Research

Data Scientist

Arlington, VA · On-site

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 ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

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 ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

... through natural language. The role blends applied data science, large language model (LLM ... evaluation, and platform engineering to make high-value insights accessible and trustworthy at ...

Cymertek Corporation

Data Scientist

Chantilly, VA · On-site

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 • ...

Futran Tech Solutions Pvt. Ltd.

Data Scientist

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 ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

... natural gas usage, in order to resolve dangerous customer side leaks Position Summary Looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

We're seeking an experienced data scientist to deliver insights on a daily basis ... The ideal candidate will have mathematical and statistical expertise, along with natural curiosity ...

LinTech Global Inc.

Data Scientist

Arlington, VA · On-site

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

Share Data Scientist The Opportunity: In this role, you will apply data science techniques and ... Experience with Natural Language Processing (NLP) techniques, such as text classification or entity ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists build and deliver ML/AIenabled capabilities for mission and operational ... Large Data Modeling: machine learning, artificial intelligence, natural language processing ...

LinTech Global Inc.

Data Scientist

Arlington, VA · On-site

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 ...

LinTech Global

Data Scientist

Arlington, VA

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 ...

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All JobsNatural Disaster Data Scientist Jobs

Natural Disaster Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jul 17, 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 kind of scientist studies natural disasters?

A natural disaster data scientist analyzes data related to events like earthquakes, hurricanes, and floods to understand their causes, impacts, and patterns. They often use statistical tools, geographic information systems (GIS), and modeling techniques to support disaster preparedness and response efforts.

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.

Will AI replace data scientists in 2050?

As a Natural Disaster Data Scientist, AI is a tool that can enhance data analysis and modeling but is unlikely to fully replace data scientists by 2050. Human expertise is essential for interpreting complex data, making strategic decisions, and understanding context, especially in specialized fields like disaster data analysis. Data scientists will continue to adapt by developing skills in AI, machine learning, and domain-specific knowledge.

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.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Data Science Manager tend to have the highest salaries, often exceeding $150,000 annually. Specialized skills in deep learning, AI, and experience with cloud platforms can further increase earning potential.

Is 40 too late for data science?

Age is not a barrier to becoming a natural disaster data scientist, as the field values skills such as data analysis, programming, and domain knowledge. Many professionals transition into data science later in their careers, and acquiring relevant skills through online courses or certifications can facilitate entry regardless of age.
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:
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Neara

New York, NY • On-site

$160K - $190K/yr

Full-time

Re-posted 28 days ago

Job description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world's largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
Data Scientist
As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
What You Will Do:
  • Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
  • Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
  • Advise the company on what our data says and use that understanding to inform Neara's strategy.
  • Conduct experiments and A/B tests to improve our modeling of the grid.
  • QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
  • Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
  • Mentor others in best practices for model training, data analytics, and building data-driven products.

Who You Are:
  • A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
  • You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
  • Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
  • Experience translating your models into both experiments and deployable software.
  • Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
  • Comfort working in an AWS cloud environment.
  • Excellent problem-solving skills as applied to new domains.
  • Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
  • Ability to own problems and proactively approach challenges.
  • Prior experience in the energy industry is a plus.

What We Offer:
  • Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
  • Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
  • You won't just build models; you'll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world's largest utilities invest.
  • We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company's rapid global scale.

Apply