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Natural Disaster Data Scientist Jobs (NOW HIRING)

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Maxonic, Inc.

Data Scientist

Santa Clara, CA · Hybrid

Data Scientist Job Type: Fulltime Job Location: Santa Clara, CA Work Schedule: Hybrid 4 days onsite ... Experience with natural language processing (NLP) and large language models (LLMs) is a plus.

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

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

Elder Research

Data Scientist

Arlington, VA

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

R0241573 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 ...

Booz Allen Hamilton

Data Scientist

Arlington, VA · On-site

As a Data Scientist, you will analyze structured and unstructured data, develop algorithms, and ... or natural language processing • Experience using cloud data tools within AWS, Azure, or Oracle ...

Lincare

Data Scientist

Clearwater, FL · On-site

Required : • building machine learning algorithms • data engineering • natural language ... science on massive sets of complex and unstructured data • manipulating or converting data ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data ...

Core One

Data Scientist

Tampa, FL · On-site

They are seeking a Data Scientist to design and deploy machine learning models for UAS threat ... natural language processing (NLP), and signal processing techniques to develop multi-domain ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

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

Booz Allen Hamilton

Data Scientist

As a Data Scientist, you will analyze complex data sets, develop algorithms, and provide insights ... or natural language processing • Experience using cloud data tools within AWS, Azure, or Oracle ...

Raymondjames

Data Scientist

Saint Petersburg, FL · On-site

$137K/yr

Write Python modules to automate Data Science tasks. Review Python code of junior colleagues ... Machine learning algorithms, including natural language processing (NLP) techniques; * Foundation ...

Gormat

Data Scientist 3

Annapolis Junction, MD

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

As a Data Scientist at Walmart, the mammoth scale and volume of our global data are virtually ... Natural Language Processing, and Reinforcement Learning. • Experienced with end-to-end modeling ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Natural language processing * Cloud computing platforms (AWS, Azure, GCP) * Big data technologies ... Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed ...

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All JobsNatural Disaster Data Scientist Jobs

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 10, 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
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What states have the most Natural Disaster Data Scientist jobs? States with the most job openings for Natural Disaster Data Scientist jobs include:
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Natural Disaster Data Scientist jobs near you
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted 19 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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