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Environmental Data Science Jobs in Texas (NOW HIRING)

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

SOSi

Data Scientist

El Paso, TX

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Additional Information Work Environment * Work is on-site at the El Paso SOSi location * Requires ...

SOSi

Data Scientist

El Paso, TX · On-site

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Additional Information Work Environment * Work is on-site at the El Paso SOSi location * Requires ...

SOSi

Data Scientist

El Paso, TX

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Additional Information Work Environment * Work is on-site at the El Paso SOSi location * Requires ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... a production environment. * Experience working with large datasets and performing data analysis Required Qualifications Education - Bachelor's degree in Mathematics, Computer/Data Science ...

Weatherford

Data Scientist - Wireline

Houston, TX

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. Roles & Responsibilities * Design and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Talent is precious to us and we create an environment in which individuals can reach their full ... Translate: Act as a local champion for data science and AI, helping users adopt tools and ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively ... Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Talent is precious to us and we create an environment in which individuals can reach their full ... Translate: Act as a local champion for data science and AI, helping users adopt tools and ...

Techvilla Solutions

Data Scientist

Desoto, TX

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering ... Optimize model performance, scalability, and deployment in production environments. * Mentor data ...

Techvilla Solutions

TX

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering ... Optimize model performance, scalability, and deployment in production environments. * Mentor data ...

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Showing results 41-60

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Texas

Environmental Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do environmental data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for environmental data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret large datasets related to climate, pollution, and natural resources.

What are the most commonly searched types of Environmental Data Science jobs in Texas?

The most popular types of Environmental Data Science jobs in Texas are:

What are popular job titles related to Environmental Data Science jobs in Texas?

For Environmental Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science jobs in Texas look for?

The top searched job categories for Environmental Data Science jobs in Texas are:

Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Re-posted 27 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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