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Ecosystem Science Jobs in Texas (NOW HIRING)

... improve the advertising ecosystem across Apple Services. We partner closely with Product ... Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science ...

... improve the advertising ecosystem across Apple Services. We partner closely with Product ... Science, Engineering, Data Science, or a related quantitative discipline and experience in one or ...

... improve the advertising ecosystem across Apple Services. We partner closely with Product ... Science, Engineering, Data Science, or a related quantitative discipline and experience in one or ...

... improve the advertising ecosystem across Apple Services. We partner closely with Product ... Science, Engineering, Data Science, or a related quantitative discipline and experience in one or ...

... ecosystem. The position owns experimentation, business analytics, and data to deliver actionable ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

... ecosystem. The position owns experimentation, business analytics, and data to deliver actionable ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

... Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and ...

... science solutions within SWBC's modern cloud-native ecosystem and enterprise AI/ML platform. Responsibilities : • Design, develop, and deploy machine learning models and analytical solutions to ...

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

Showing results 41-60

Ecosystem Science information

See Texas salary details

$21.5K

$81K

$161.8K

How much do ecosystem science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ecosystem science in Texas is $81,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,971.00 and $106,851.00 per year, depending on experience, location, and employer.

What is ecosystem science?

Ecosystem science is the study of interactions among organisms and their environment as a system. It focuses on understanding how living (biotic) and non-living (abiotic) components of ecosystems, such as plants, animals, microbes, soil, water, and climate, interact to shape the structure and function of natural systems. Ecosystem scientists investigate processes like nutrient cycling, energy flow, and ecosystem services, often to inform conservation, land management, and policy. This field is interdisciplinary, combining biology, ecology, geography, and environmental science to address complex environmental challenges.

What job studies ecosystems?

Ecosystem scientists or ecologists study ecosystems by analyzing interactions among organisms and their environment. They often conduct fieldwork, collect data, and use tools like GIS and statistical software to understand ecological processes, typically requiring a background in biology, environmental science, or related fields.

How much do ecosystem scientists make?

Ecosystem scientists typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Salaries can increase with advanced degrees, specialized skills, and work in government agencies, research institutions, or environmental consulting firms.

What are some typical collaborative projects or partners an ecosystem scientist might work with?

Ecosystem Scientists frequently collaborate with government agencies, conservation organizations, and academic researchers to address environmental challenges such as habitat restoration, biodiversity monitoring, or climate impact assessments. These projects often involve multidisciplinary teams, incorporating expertise from hydrology, wildlife biology, and data science. Building strong partnerships is essential, as these collaborations enable Ecosystem Scientists to gather comprehensive data, apply for joint funding, and implement effective management strategies across large landscapes.

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

To thrive as an Ecosystem Scientist, you need a strong background in ecology, biology, environmental science, and data analysis, typically supported by a relevant degree such as a BSc or MSc in environmental or biological sciences. Competence with GIS software, statistical analysis tools, and field sampling equipment is commonly required, along with certifications in environmental monitoring or research methods. Critical thinking, collaboration, and effective communication are essential soft skills for synthesizing data and working with multidisciplinary teams. These skills and qualifications are crucial for accurately assessing ecosystem health, informing conservation efforts, and guiding sustainable management decisions.

What is the difference between Ecosystem Science vs Environmental Science?

AspectEcosystem ScienceEnvironmental Science
Required CredentialsBachelor's or Master's in Ecology, Biology, or Environmental ScienceBachelor's or Master's in Environmental Science, Ecology, or related fields
Work EnvironmentField research, ecological monitoring, data analysisLaboratory, fieldwork, policy analysis
Employer & IndustryResearch institutions, conservation agencies, universitiesGovernment agencies, NGOs, consulting firms

Both Ecosystem Science and Environmental Science involve understanding ecological systems, but Ecosystem Science focuses specifically on the interactions within ecosystems, often emphasizing field research and ecological modeling. Environmental Science has a broader scope, including pollution, policy, and sustainability issues. Professionals in both fields often share similar credentials and work environments, but their focus areas differ, making them distinct yet related careers.

What are popular job titles related to Ecosystem Science jobs in Texas? For Ecosystem Science jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ecosystem Science jobs? Cities in Texas with the most Ecosystem Science job openings:

Principal Machine Learning Scientist

Cotality

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago


Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
The Principal Machine Learning Scientist will design, develop, and deliver Machine Learning based Predictive and Forecasting solutions that will enhance and add value to new and existing Real Estate and property data assets for broad industry applications and aligned with business and market requirements. Example solution is House Pricing Index model. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.
Job Responsibilities:
  • Create data derivation and linkage through algorithms and/or data rules.
  • Create and select predictive features from raw data.
  • Create model reports for stakeholder review and model documentation.
  • Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined - an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
  • Develop analytics using Python, SQL and other big data tools such as BigQuery(BQ), DataPrep and Jupyter Notebook.
  • Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
  • Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
  • QA and analyze large amounts of data to create appropriate data sets for model building.
  • Prepare and maintain programs and documentation for analytic models.
  • Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
  • Act as a consultant to EDSG's data management and data technology teams.
  • Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.

Job Qualifications:
  • Master's Degree or higher in economics, artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
  • Ability to thrive in a team environment and adapt to quickly changing priorities.
  • 7+ years of directly related experience.
  • Strong problem solving and analytical ability.
  • Strong communication skills.
  • Ability to quickly and efficiently adapt to new concepts.
  • Demonstrated knowledge of statistical techniques.
  • Data mining/data analysis experience.
  • Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
  • Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
  • Ability to work collaboratively with cross-function teams and business units.
  • Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
  • Ability to lead small team in technical projects.
  • Patents and publications in data science field a plus

#LI-Remote
Annual Pay Range:
134,400 - 190,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2026-08-11
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Health: Multiple medical plan options with mental health and wellness support offerings.
  • Retirement: 401(k) with company match and vesting after one year.
  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range
Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
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