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Environmental Data Science Jobs in New York (NOW HIRING)

Data Science Manager

Manhattan, NY · On-site

$149 - $186/hr

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 ...

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 ...

... 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.

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

We're looking for a Manager, Data Science to support business intelligence & data science ... data environments • Contribute to existing analytics pipelines and dashboards supported by ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments

Showing results 21-40

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 cities in New York are hiring for Environmental Data Science jobs?

Cities in New York with the most Environmental Data Science job openings:

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.

Data Science Manager

FanDuel

Manhattan, NY • On-site

$149 - $186/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

  • Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
  • Iterate and improve on betting product range to ensure market leading offering
  • Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
  • Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges
  • Choose appropriate tools, systems and models to solve large data problems
  • Troubleshoot and resolve coding and modeling problems presented by others
  • Proactively seek opportunities or problems to be analyzed
  • Put together project plans for the Data Science team to follow
  • Present to senior leaders confidently and with impact
  • Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
  • Manage the data preparation process from collection through cleaning
  • Build robust predictive models, showing capabilities of feature and model selection
  • Contribute to a production code environment
  • Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
  • Create dashboards and data visualizations for analysis and communication
  • Identify, grow and develop top talent within the Data Science organization
  • Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood
  • Make significant contributions to, sets agenda for and helps steer large group meetings
  • Determine inefficiencies in ways of working and seeks to solve them

THE STATS
What we're looking for in our next teammate

  • Minimum of 5 years’ of industry experience in data science, analytics or engineering preferred
  • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
  • Experience managing or mentoring other data scientists or analysts
  • Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
  • Strong understanding and application of Bayesian statistics
  • Expert in building and using models to help create production level products and tools
  • Proficient with command line tools and GitHub
  • Object-oriented design and coding skills
  • Strong verbal and written communication skills, present findings and analysis to senior management, being totally accountable for the entire agenda of the projects owned
  • Help the stakeholders in understanding the business KPIs
  • Bring efficiency and automation in the data infrastructure
  • Ability to work across teams, locations and time zones
  • Willing to work nontraditional hours when applicable
  • Interest or experience in Sports Gaming and/or Fantasy Sports

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world’s largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

  • We offer amazing benefits above and beyond the basics.
  • We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
  • We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards.
  • *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email [emailprotected] .

The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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