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Environmental Data Science Jobs (NOW HIRING)

langan

Environmental Data Analyst

Manhattan, NY · On-site

$65K - $88K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

langan

Environmental Data Analyst

Manhattan, NY

$65K - $88K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Haley & Aldrich

Environmental Data Analyst

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Haley & Aldrich, Inc

Environmental Data Analyst

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Haley & Aldrich

Environmental Data Analyst

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

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Environmental Data Science information

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$122.7K

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How much do environmental data science jobs pay per year?

As of Jun 30, 2026, the average yearly pay for environmental data science 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 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 in research or consulting settings.

Can data scientists make $300k?

Environmental data scientists can potentially earn $300,000 or more at senior levels or in specialized roles, especially with extensive experience, advanced skills in machine learning, and working in high-demand industries or organizations. However, such salaries are typically achieved through seniority, leadership positions, or in regions with higher compensation standards.

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.

Is 40 too late for data science?

Environmental Data Science is a field that values skills and experience over age, and many professionals transition into it later in their careers. Gaining relevant knowledge in programming, statistics, and environmental science can be achieved at any age, and employers often prioritize expertise and problem-solving ability over age-related factors.

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 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.

What is the highest paying environmental science job?

Environmental Data Science roles such as senior environmental data scientists or environmental analytics managers tend to have the highest salaries in the field, often exceeding $100,000 annually. These positions typically require advanced skills in data analysis, programming, and environmental modeling, and may involve leadership responsibilities or specialized expertise in areas like climate modeling or sustainability analytics.

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.
More about Environmental Data Science jobs
What cities are hiring for Environmental Data Science jobs? Cities with the most Environmental Data Science job openings:
What are the most commonly searched types of Environmental Data Science jobs? The most popular types of Environmental Data Science jobs are:
What states have the most Environmental Data Science jobs? States with the most job openings for Environmental Data Science jobs include:
What job categories do people searching Environmental Data Science jobs look for? The top searched job categories for Environmental Data Science jobs are:
Environmental Data Science jobs near you

Environmental Data Analyst

langan

Manhattan, NY • On-site

$65K - $88K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Key responsibilities

  • Assist with organizing, reviewing, and managing environmental analytical and field data for investigation and remediation projects.

  • Support the preparation of tables, figures, and summaries for technical reports, client deliverables, and regulatory submissions.

  • Work with databases and tools to identify and resolve data quality issues and coordinate with project teams to ensure complete and accurate datasets.

Langan rating

9.1

Company rating: 9.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

20th of 357 rated engineering

Job description

Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 50+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work.
Consistently ranked among the top ten "Best Firms to Work For" and Engineering News-Record's top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.
Job Summary
Langan is seeking an Environmental Data Analyst to join its collaborative team in New York City. This individual will serve a key function in providing technical support to field sampling teams, the collection of and configuration of large datasets and the development of and utilization of data validation tools to identify quality issues. In this role, you will have the opportunity to partner cross-functionally as part of a growing national team.
Job Responsibilities
  • Assist with organizing, reviewing, and managing environmental analytical and field data for investigation and remediation projects;
  • Support the preparation of tables, figures, and summaries for technical reports, client deliverables, and regulatory submissions;
  • Work with enterprise databases and tools such as EarthSoft EQuIS, Excel, and Power BI to identify and resolve data quality issues;
  • Coordinate with project teams, laboratories, data validators, and GIS staff to ensure complete and accurate datasets;
  • Track and apply regulatory criteria and environmental standards (state and federal) under guidance of senior staff;
  • Participate in the development and improvement of data management workflows and internal tools;
  • Maintain strong attention to detail while learning industry best practices for environmental data QA/QC;
  • Track and apply regulatory criteria and environmental standards (state and federal) under guidance of senior staff; and,
  • Participate in the development and improvement of data management workflows and internal tools.Stay current with emerging industry standards and technologies related to environmental data management.

Qualifications
  • Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field;
  • 0-3 years of experience in environmental data management, environmental consulting, or a related analytical role;
  • Strong proficiency in Microsoft Excel; exposure to databases or data tools (EQuIS, SQL, Power BI) is a plus; and,
  • Familiarity with environmental sampling data, laboratory deliverables, or regulatory reporting is a plus.

Langan provides a rich array of programs and benefits to help its employees advance their careers and enhance the quality of their lives. Our comprehensive compensation package includes: full-time employment company paid medical, dental, and vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy disability leave; 401(k)/Roth with company match; paid time off including parental and military leave; employee referral and professional license bonuses; and educational reimbursement.
Langan offers employee resource groups; flexible work schedules; extensive training; wellness programs; buddy and mentoring programs; and much more!
Langan is committed to providing equal employment opportunities to all qualified applicants and employees, including individuals with disabilities and protected veterans. We believe that an inclusive workplace is essential for the well-being and success of our employees.
Certain US jurisdictions require Langan to include an estimate of salary or hourly ranges. The estimated range for this role is: $65,000 - $88,500. Actual compensation may vary based on factors such as related work experience, location, market conditions, education/training, certifications and other credentials, as well as applicable knowledge and skills. Certain roles may be eligible for overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are also eligible to receive up to 20 days of paid vacation time, 10 days of paid sick time and 10 paid holidays throughout the year. Eligibility and actual paid time off may vary based on local law and factors such as hours worked, related work experience and level.

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