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Remote Environmental Data Scientist Jobs (NOW HIRING)

Remote Job Summary Join our client's team as a Data Scientist and play a pivotal role in ... This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Elder Research provides a supportive work environment with established parental, bereavement, and ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Elder Research provides a supportive work environment with established parental, bereavement, and ...

Familiarity with large-scale data environments and version-controlled workflows. Strong command of ... This is a fully remote role that can be completed on your own schedule. Projects can be extended ...

Data Scientist

Manhattan, NY ยท On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... Ability to work in a dynamic environment and adapt to evolving business needs. * Strong ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

Data Scientist

Arlington, VA ยท On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Data Scientist

Raleigh, NC ยท On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Data Scientist

Arlington, VA ยท On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Role: Data Scientist (No H1B Visa) Remote Commercial Pharma Causal Inference (would be a plus ... Azure Cloud environment. Skill Required Proficiency - On a scale of 1-5 (5 being the highest ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... environment. * Proficiency in creating and editing visual content such as charts and graphs to ...

AI/ML Data Scientist (Remote) We are seeking an AI/ML Data Scientist for our client for a remote position. US Citizens or Green Card Holders ONLY!! No C2C No Third Party Agencies . What you'll do ...

Ability to work in a dynamic environment and adapt to evolving business needs. * Strong ... Flexible working hours and potential for remote work arrangements. Company Overview Our client is a ...

Data Scientist

Santa Cruz, CA ยท Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Data Scientist

Manhattan, NY ยท On-site +1

$100K - $132K/yr

Remote Salary: $100,000 - $132,000 USD plus bonus and benefits. As a Data Scientist , you will join ... into production environments (e.g., AWS SageMaker, Databricks, Snowpark ML ) Familiarity with ...

Data Scientist

Richardson, TX ยท Remote

$116.40K - $198.20K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... environment for all employees. #LI-REMOTE #LI-JL1 USD $116,400.00 - USD $198,200.00 /Yr.

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Remote Environmental Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jun 4, 2026, the average yearly pay for remote environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

More about Remote Environmental Data Scientist jobs
What cities are hiring for Remote Environmental Data Scientist jobs? Cities with the most Remote Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Remote Environmental Data Scientist jobs? States with the most job openings for Remote Environmental Data Scientist jobs include:
Remote Data Scientist

Remote Data Scientist

Micro1

Broomfield, CO โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Scientist Job Type: Contractor Location: Remote Job Summary Join our client's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.

Key Responsibilities Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.

Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows.

Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets.

Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.

Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications Experience working in a remote, cross-functional, or customer-focused team environment.

Background in developing and deploying machine learning solutions in production settings. #J-18808-Ljbffr