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Remote Computer Science Environmental Jobs (NOW HIRING)

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High School Computer Science Tutor

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Remote Computer Science Environmental information

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$51.5K

$100.1K

$148K

How much do remote computer science environmental jobs pay per year?

As of May 31, 2026, the average yearly pay for remote computer science environmental in the United States is $100,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Environmental Computer Scientist, and why are they important?

To thrive as a Remote Environmental Computer Scientist, you typically need a strong background in computer science, environmental science, and data analysis, often supported by a relevant degree. Proficiency with programming languages (such as Python or R), GIS software, and remote sensing tools is crucial, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving, communication, and self-motivation are important soft skills for remote work and interdisciplinary collaboration. These competencies ensure accurate environmental modeling, effective data-driven decision-making, and successful teamwork in a virtual setting.

How does a remote Computer Science Environmental professional typically collaborate with multidisciplinary teams to address environmental challenges?

Remote Computer Science Environmental professionals frequently work with teams that include environmental scientists, policy experts, and data analysts. Collaboration usually happens through digital platforms, such as shared code repositories, video conferences, and project management tools. These professionals contribute by developing software, modeling environmental data, or supporting data-driven decision-making, often coordinating across time zones. Clear communication and adaptability are essential for integrating technical solutions with scientific goals in a virtual environment.

What are remote computer science environmental jobs?

Remote computer science environmental jobs are positions that combine computer science skills—such as programming, data analysis, and software development—with environmental science to solve ecological problems or advance sustainability efforts. These roles are performed remotely, allowing professionals to work from anywhere while developing tools, analyzing data, or managing projects related to environmental protection, climate modeling, or resource management. Common job titles include environmental data analyst, software engineer for environmental applications, and GIS specialist. Employers may include government agencies, non-profits, research institutions, and private companies focused on sustainability.

What is the difference between Remote Computer Science Environmental vs Remote Data Scientist?

AspectRemote Computer Science EnvironmentalRemote Data Scientist
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fields; certifications in environmental software or GISBachelor's or higher in Computer Science, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentPrimarily field data collection, GIS mapping, environmental modeling, and software developmentData analysis, modeling, visualization, and machine learning tasks using datasets
Employer & Industry UsageEnvironmental agencies, conservation organizations, research institutionsTech companies, research firms, finance, healthcare

Remote Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving GIS and environmental modeling. Remote Data Scientist positions center on analyzing large datasets, building predictive models, and deriving insights across various industries. While both roles require strong technical skills, their focus areas and typical tasks differ significantly, catering to distinct industry needs.

More about Remote Computer Science Environmental jobs
What cities are hiring for Remote Computer Science Environmental jobs? Cities with the most Remote Computer Science Environmental job openings:
What are the most commonly searched types of Computer Science Environmental jobs? The most popular types of Computer Science Environmental jobs are:
What states have the most Remote Computer Science Environmental jobs? States with the most job openings for Remote Computer Science Environmental jobs include:
What job categories do people searching Remote Computer Science Environmental jobs look for? The top searched job categories for Remote Computer Science Environmental jobs are:
Remote Computer Science Environmental jobs near you
Infographic showing various Remote Computer Science Environmental job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $100,142 per year, or $48.1 per hour.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Posted 10 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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