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Environmental Data Science Jobs in Texas (NOW HIRING)

Valero is looking for a passionate and technically accomplished Data Scientist to develop and ... environment built on teamwork, excellence and career growth. To explore the ways we build a ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

They are seeking a Staff Data Science Engineer to lead the design and delivery of scalable data ... environments and regulated data handling. • Experience working in environments that require ...

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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 strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

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 data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

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:

Infographic showing various Environmental Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Science Specialist

Valero

San Antonio, TX • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago


Valero rating

6.2

Company rating: 6.2 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

69th of 87 rated oil and gas companies


Job description

Valero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive exceptional results for our company, the energy industry and our community.

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In this hands-on role, you'll leverage your deep expertise in machine learning, statistical modeling, and data engineering to design and implement advanced AI systems that drive smarter, faster decision-making.

You'll work closely with business stakeholders to translate complex requirements into scalable, production-ready models-delivering actionable insights in areas like process optimization, anomaly detection, and predictive forecasting. From data wrangling to model tuning and deployment, you'll own the full lifecycle of AI solutions, ensuring performance, reliability, and measurable business impact.

As a technical trailblazer, you'll stay ahead of the curve by exploring emerging tools, frameworks, and methodologies, continuously pushing the boundaries of what's possible with data science at Valero.

Key Attributes:

  • Problem Solving
  • Initiative
  • Results Orientation
  • Interpersonal Skills

At Valero, we are committed to advancing the future of energy through innovation, ingenuity and unmatched execution. You can help achieve this goal if you can:

  • Solve complex analytical challenges across Valero's business units by developing advanced AI and data science solutions that deliver actionable insights into operational and commercial questions.
  • Serve as a corporate resource for interpreting data analysis and models, providing expert guidance to ensure accurate understanding and application of results.
  • Process and transform structured and unstructured data into formats suitable for advanced analytics and modeling.
  • Develop, train, and validate machine learning models to support the implementation of AI-driven solutions across the organization.
  • Advise and support employees on statistical and data analysis projects, promoting best practices and technical excellence.
  • Contribute to the development and refinement of best practices for implementing advanced analytical solutions at Valero.
  • Act as a technical expert in AI tools and collaborates with information systems teams to optimize and enhance system capabilities.
  • Provide input on process improvement initiatives by leveraging data-driven insights to reduce costs and improve efficiency across commercial and operational workflows.

This position is salaried exempt status, which means you are not eligible for overtime pay.

Minimum Requirements:

  • Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent.

  • 5 years of experience in programing & data mining.

  • Able and willing to work on-site, in-person at the Valero San Antonio location, required.

Preferred Requirements: 

  • Master's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science, or Computer Science or related field or equivalent.

  • Experience applying data science to refining related applications preferred.

  • Refining Industry experience.

Need more reasons to work for a company that is both professionally challenging and culturally rewarding?  Take a look at some of our best-in-class benefits:

  • Competitive Pay and Annual Bonus Program
  • 100% match on 401(K) up to 7%, with immediate vesting
  • Company-sponsored Pension Plan
  • Comprehensive Healthcare and Wellness Programs
  • Onsite Daycare Center
  • Onsite Employee and Family Wellness Centers (Physician & Pediatrician)
  • Onsite Pharmacy
  • State-of-the-art 24-hour Fitness Center free for employees and spouses with access to Tennis and Basketball Facilities
  • Onsite cafeteria open for breakfast and lunch
  • Sprawling campus with walking paths and access to biking trails

Benefits described above are highlights only, subject to an employee's eligibility and work location.

Position level and salary will be commensurate with qualifications and experience.

Valero's employees and team-focused culture drive our success. We're invested in our dedicated workforce through a comprehensive, customizable benefits package, while supporting a caring culture that delivers a rewarding work environment built on teamwork, excellence and career growth. To explore the ways we build a stronger team, visit Valero.com/Careers.

Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex, national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws.

Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero.  Valero's market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites.  

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