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Environmental Data Science Jobs in New York (NOW HIRING)

Rent The Runway

Manager, Data Science

Manhattan, NY · On-site

$150 - $190/hr

... a fast-paced environment. What You'll Do: * Lead, coach, and develop the Data Science team ... providing technical guidance, feedback, and career development while fostering a high-performing ...

Tatari

Data Science Manager

Manhattan, NY · On-site

$160K - $220K/yr

Data Science Manager New York, New York, United States Tatari is on a mission to revolutionize TV ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Tatari

Data Science Manager

Manhattan, NY

$160K - $220K/yr

Data Science Manager New York, New York, United States Tatari is on a mission to revolutionize TV ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

SageSure

Director Data Science

Jersey City, NJ · On-site

... paced environment. * Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.). * Strong understanding of AWS or comparable cloud architecture.

Burson

Vice President, Data Science

New York, NY

Architect scalable data pipelines, cloud-based data environments, AI-enabled infrastructure, and ... Oversee and mentor data scientists, engineers, analysts, and technical specialists while promoting ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

This role will also manage and develop other data scientists. You will promote effective ... Contribute to a production code environment * Work with decision-makers across the company to ...

Burson

Vice President, Data Science

New York, NY · On-site

Architect scalable data pipelines, cloud-based data environments, AI-enabled infrastructure, and ... Oversee and mentor data scientists, engineers, analysts, and technical specialists while promoting ...

Tatari

Data Science Manager

New York, NY

$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:

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... Self-driven and comfortable operating independently in a globally distributed team environment ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

This role will also manage and develop other data scientists. You will promote effective ... Contribute to a production code environment * Work with decision-makers across the company to ...

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All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in New York

Environmental Data Science information

See New York salary details

$41K

$134.3K

$215K

How much do environmental data science jobs pay per year?

As of Sep 3, 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 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 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 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 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.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

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 large datasets related to climate, pollution, and natural resources.

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 August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Director, Data Science

Optimize Partners

New York, NY • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Optimize Partners provides IT staffing solutions to tech startups and Fortune 500 companies in the New York metro area, and beyond. One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects.


Responsibilities:

  • As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of complex data projects, and also work externally with bank and other financial services partners.
  • Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed
  • Establish Data Science role models and best practices in the organization
  • Communicating data driven insights to business audiences through simple visualization
  • Make data driven recommendations to improve operational efficiencies in underwriting, marketing, and sales


Qualifications:

  • 4-year degree; advanced degree or post-doctoral preferred.
  • At least 3 years of experience in managing a team of Data Scientists.
  • Overall 10+ years of experience with data science, credit risk management experience is a definite plus
  • 2-4 years of credit risk modeling experience
  • 2+ years of experience with Python programming
  • Extensive, hands-on experience with relevant methodologies in classical statistics, big data, supervised and unsupervised learning models with emphasis on communicating the analysis to business audiences through visual and other methods.
  • Prior experience to creating and allocating relevant individual workstreams to data science team members and be able to synthesize team efforts and prepare succinct presentations to C-level and to the Credit Risk Committee.
  • Ability to interact effectively and independently with other functional units, such as underwriting, marketing, sales, and software developers to address their analytical needs in a time-sensitive environment.
  • Strong conceptual thinking skills, highly motivated, outcome-focused, dynamic, and capable of guiding and inspiring their team to perform at a high level.


What to Expect, If Hired

  • Health, Vision and Dental Insurance
  • 401(k) retirement savings plan, with Employer match
  • Unlimited Paid Time Off
  • Hybrid work location

Apply