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Remote Environmental Data Scientist Jobs in Houston, TX

Compunnel

Data Scientist

Houston, TX · Remote

$60 - $65/hr

... Data Scientist ... Location: Remote. Pay: 65/hr W2 only. Prefer someone from the Retail domain with customer ...

Inizio Partners

Data Scientist

Houston, TX · On-site +1

US Remote This resource will work specifically on anomaly detection within one of our plant ... Prior experience predictive maintenance in a power or manufacturing environment. * Experience with ...

SECURE RPO LLC

Data Scientist

Houston, TX · On-site +1

Senior Data Scientist Client: Linde Job Type: Permanent Work Location: Houston TX (Onsite) Must ... remote monitoring and data analytics methods to continuously improve EHC efficiency and ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

... Remote Yes Overview The Senior Data Scientist will leverage advanced analytics, machine learning ... Experience with AEC, engineering, or consulting environments * Strong proficiency in Python or R ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

... Remote Yes Overview The Senior Data Scientist will leverage advanced analytics, machine learning ... Experience with AEC, engineering, or consulting environments * Strong proficiency in Python or R ...

Sedgwick

Principal Data Scientist

Houston, TX · On-site +1

Extensive experience working with large, complex datasets in enterprise environments. * Proven ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Experience with AEC, engineering, or consulting environments * Strong proficiency in Python or R ...

New Relic

Lead Data Scientist

Houston, TX · Remote

$163K - $204K/yr

Demonstrated ability to deploy models into production environments and familiarity with MLOps ... Please note that visa sponsorship is not available for this position. #LI-GK1 #LI-Remote The pay ...

Relativity

Senior Applied Scientist

Houston, TX · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience working in containerized environments using Kubernetes-based tooling and workflows

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All JobsRemote Environmental Data Scientist JobsRemote Environmental Data Scientist Jobs in Houston, TX

Remote Environmental Data Scientist information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do remote environmental data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote environmental data scientist in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Environmental Data Scientist, and why are they important?

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

How does a Remote Environmental Data Scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

What is a Remote Environmental Data Scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are the most commonly searched types of Environmental Data Scientist jobs in Houston, TX? The most popular types of Environmental Data Scientist jobs in Houston, TX are:
What are popular job titles related to Remote Environmental Data Scientist jobs in Houston, TX? For Remote Environmental Data Scientist jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Scientist jobs in Houston, TX look for? The top searched job categories for Remote Environmental Data Scientist jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Environmental Data Scientist jobs? Cities near Houston, TX with the most Remote Environmental Data Scientist job openings:
Remote Environmental Data Scientist jobs near you
Infographic showing various Remote Environmental Data Scientist job openings in Houston, TX as of May 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.
Data Scientist - Remote

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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