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Environmental Data Science Jobs in New York (NOW HIRING)

langan

Environmental Data Analyst

Manhattan, NY

$65K - $88.50K/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 · On-site

$65K - $88.50K/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 · On-site

$65K - $88.50K/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 ...

DeepIntent

Director, Data Science

New York, NY

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive ... Experience working with adtech platforms, or marketing analytics environments. * Strong ...

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

Comfort working in global, cross-functional environments across multiple time zones. * Passion for applying data science and AI to improve healthcare marketing outcomes. DeepIntent is proud to offer ...

StubHub

Data Science Manager

New York, NY · Hybrid

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... An environment designed for swift skill and knowledge enhancement, where you have the autonomy to ...

Deloitte

Data Science Consultant

New York, NY · On-site

If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also ...

Deloitte

Data Science Consultant

Stamford, CT · On-site

If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also ...

StubHub

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... An environment designed for swift skill and knowledge enhancement, where you have the autonomy to ...

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

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Environmental Data Science information

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$41K

$134.3K

$215K

How much do environmental data science jobs pay per year?

As of May 27, 2026, the average yearly pay for environmental data science in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are popular job titles related to Environmental Data Science jobs in New York? For Environmental Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in New York look for? The top searched job categories for Environmental Data Science jobs in New York are:
What cities in New York are hiring for Environmental Data Science jobs? Cities in New York with the most Environmental Data Science job openings:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in New York as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,280 per year, or $64.6 per hour.
Environmental Data Analyst

Environmental Data Analyst

Langan Engineering & Environmental Services

Manhattan, NY • On-site

Full-time

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

Job description

Job Summary:
Langan Engineering & Environmental Services is a leading firm providing land development engineering and environmental consulting services. They are seeking an Environmental Data Analyst to support field sampling teams, manage large datasets, and develop data validation tools to ensure data quality.
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;
• 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:
Required:
• 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
• Familiarity with environmental sampling data, laboratory deliverables, or regulatory reporting is a plus
Company:
Langan's client-focused, highly entrepreneurial culture cultivates an environment of opportunities. Founded in 1970, the company is headquartered in Parsippany, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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