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Environmental Data Science Jobs in Texas (NOW HIRING)

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Experience validating models and monitoring performance in production environments. Direct ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... Experience validating models and monitoring performance in production environments. Direct ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... environments. Direct experience with model governance frameworks. • Ability to clearly ...

Triumph

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... environments. Direct experience with model governance frameworks. • Ability to clearly ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize ... environments. Direct experience with model governance frameworks. • Ability to clearly ...

General Motors

Staff Data Science

Austin, TX · On-site

The Role As a staff scientist, you will be responsible for leading one or more AI/ML and data ... We strongly believe that providing an inclusive workplace creates an environment in which our ...

Phase2 Technology

Data Science Analyst II

Austin, TX · On-site

$72 - $88/hr

Data Science Analyst II Department: Dell Medical School Location: UT MAIN CAMPUS Weekly Scheduled ... Demonstrates proficiency in cloud‑based analytics environments. * Adopts emerging cloud tools and ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of ... In the current integration environment, this role must also work effectively within approved ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and ... models in a production environment. Responsibilities : • Develop and improve upon machine ...

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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 23, 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 / Data Science Specialist

Adidev Technologies Inc

Dallas, TX • On-site

Full-time

Re-posted 4 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 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 Analyst / 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 RESPONSIBILITIES
  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
  • Develop novel ways to help business partners achieve objectives through analysis and modeling
  • Curate and connect external data sets for broad enterprise-wide analytic usage
  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
  • Utilize machine learning to create repeatable, dynamic, and scalable models
  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS
  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
  • Familiarity with MLOps frameworks like MLflow.
  • Familiarity with SQL.
  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
  • Experience with Python and R, comfortable working with DataFrames
  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
  • Experience working with version control systems such as Git and SVN
  • Experience writing complex SQL queries
  • Understanding data warehousing and databases is critical
  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
  • Experience with Python
  • Experience with machine learning, Deep Learning
  • Mathematical and statistical background
  • Experience with Hadoop, Hive, and/or Spark

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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