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Environmental Data Science Intern Jobs in Texas (NOW HIRING)

Triumph Financial

Director of Data Science

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Triumph Financial

Director of Data Science

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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

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

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 ...

Heidelbergmaterials

Environmental Intern

Irving, TX

$16.25 - $20.75/hr

Participate in site inspections, audits, and data collection related to air, water, and land ... Current juniors and seniors pursuing a degree in Environmental Science, Environmental Engineering ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Texas

Environmental Data Science Intern information

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

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

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

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

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

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

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

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

What cities in Texas are hiring for Environmental Data Science Intern jobs?

Cities in Texas with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Texas as of August 2026, with employment types broken down into 10% Internship, 72% Full Time, 12% Part Time, 3% Temporary, and 3% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution.

Director of Data Science

Triumph Financial

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Join Triumph!
At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.
Director of Data Science
Position Summary
We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models that translate largescale transportation data into trusted insights for carriers, brokers, and shippers. In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings strong statistical rigor, experience working with real-world operational data, and a product-oriented mindset for deploying models that influence commercial and operational decisions across transportation networks.
Key Responsibilities
  • Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
  • Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
  • Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade-offs.
  • Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
  • Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
  • Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
  • Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
  • Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.

Required Qualifications
  • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
  • 5-7 years of professional experience in data science, applied statistics, or quantitative analytics.
  • Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
  • Demonstrated ability to build models that support decision making, optimization, or market intelligence.
  • Strong Python and SQL skills and experience working with large, complex datasets.
  • Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
  • Ability to clearly communicate quantitative insights to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience working with transportation, logistics, supply chain, or network-based data.
  • Strong expertise in
    • Regression & tree-based models (e.g., XGBoost, Random Forest)
    • Time series forecasting (e.g., SARIMAX, Prophet, TFT)
    • Statistical modeling of skewed distributions (e.g., log-normal, gamma)
  • 2 years in a leadership or people-management capacity
  • Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
  • Familiarity with time-series modeling, signal processing, or index construction.
  • Experience supporting intelligence, analytics, or data products used by external customers.
  • Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!

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