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Environmental Data Science Jobs in Chicago, IL (NOW HIRING)

Vizient, Inc.

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will be responsible for data science projects across the healthcare domains of clinical ...

New

Vizient

Data Science Fellow

Chicago, IL

$51K - $87K/yr

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will be responsible for data science projects across the healthcare domains of clinical ...

New

Inspire11

Data Science Consultant

Chicago, IL · On-site

We've created a work environment in which you can expect: * Individualized Professional Growth: You ... Communicate Data Science methodologies to non-technical audiences * Work with digital design and ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

We've created a work environment in which you can expect: * Individualized Professional Growth: You ... Communicate Data Science methodologies to non-technical audiences * Work with digital design and ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Experience in SQL and familiarity with cloud-native environments (e.g., Snowflake, Sagemaker). Able ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Work in a team environment to deliver analytics solution to client * Define new business metrics as ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Work in a team environment to deliver analytics solution to client * Define new business metrics as ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

... data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment * Advanced degree in a highly quantitative field such as ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment * Advanced degree in a highly quantitative field such as ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

... data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment * Advanced degree in a highly quantitative field such as ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

... Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties ... analytics environment). Create ETL architecture & design flows to illustrate data mvmt from ...

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All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Chicago, IL

Environmental Data Science information

See Chicago, IL salary details

$38.7K

$126.5K

$202.6K

How much do environmental data science jobs pay per year?

As of Jul 31, 2026, the average yearly pay for environmental data science in Chicago, IL is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 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 with large datasets and models to inform environmental policies and practices.

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 data science later in their careers. Gaining relevant knowledge in programming, statistics, and environmental data tools can enable a successful entry regardless of age, as continuous learning and practical experience are key factors in the field.

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.
What are the most commonly searched types of Environmental Data Science jobs in Chicago, IL? The most popular types of Environmental Data Science jobs in Chicago, IL are:
What are popular job titles related to Environmental Data Science jobs in Chicago, IL? For Environmental Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Chicago, IL look for? The top searched job categories for Environmental Data Science jobs in Chicago, IL are:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,538 per year, or $60.8 per hour.

Data Science Fellow

Vizient, Inc.

Chicago, IL • On-site

$51K - $87K/yr

Other

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

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Applications submitted without a personal statement will not be considered.

Responsibilities

  • Work with internal data science teams on assigned projects.

  • Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

  • Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties.

  • Conduct self-directed research into healthcare data topics.

  • Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

  • Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship.

Qualifications

  • Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired.

  • No previous work experience is required.

  • Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

  • Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required.

  • Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred.

  • Solid understanding of machine learning operations is preferred.

  • Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred.

  • Strong communication and project management skills are preferred.

Application Requirements

  • Resume/CV

  • A one-page personal statement (explaining why you are interested in Vizient and this fellowship)

  • Required Later: Project Portfolio

    Estimated Hiring Range:

    At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00.

    This position is also incentive eligible.

    Vizient has a comprehensive benefits plan! Please view our benefits here:

    http://www.vizientinc.com/about-us/careers

    Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

    The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

    Apply