1

Environmental Data Science Jobs in Illinois (NOW HIRING)

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will design, implement, and deploy advanced data science solutions across multiple projects and ...

Senior Data Scientist

Chicago, IL ยท On-site

$102K - $179K/yr

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will design, implement, and deploy advanced data science solutions across multiple projects and ...

... environment Qualifications: * Minimum three years of recent experience with advisory-related ... Experience with data science, machine learning methods, and LLM-based solutions and products

Senior Data Scientist

Chicago, IL ยท On-site

$102K - $179K/yr

... environment both now and in the future. Summary: In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and ...

... environment both now and in the future. Summary: In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and ...

... environment. Responsibilities * Process, cleanse, and verify the integrity, quality, and ... Support data science and analytics initiatives using SQL, Python, R, and Excel. * Collaborate with ...

Data Scientist

Chicago, IL ยท On-site

$79K - $158K/yr

The role will work with large, complex data sets and contribute to analytics and data science ... paced and highly visible environment. Key Responsibilities - Support the development and ...

Senior Data Scientist

Chicago, IL ยท On-site

$140K - $180K/yr

Required Qualifications: * 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. * Deep expertise in Python ...

Define and implement robust experimentation strategies for changes that move business metrics in high-noise environments. * Champion business-impact-driven data science, integrating causal inference ...

Build relationships with stakeholders and collaborate with other statistical and data science teams ... Demonstrated history of successful execution in a fast-paced environment and in managing multiple ...

The ideal candidate enjoys solving difficult business problems through data science, thrives ... We have more than 1,000 employees in a distributed workforce environment across 12 offices ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science ... Designing, deploying, and monitoring AI and ML models in production environments * Cloud platforms ...

Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements. * Bachelors in data science, Statistics, Mathematics, Engineering, Computer ...

Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements. * Bachelors in data science, Statistics, Mathematics, Engineering, Computer ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science ... Designing, deploying, and monitoring AI and ML models in production environments * Cloud platforms ...

Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements. * Bachelors in data science, Statistics, Mathematics, Engineering, Computer ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science ... Designing, deploying, and monitoring AI and ML models in production environments * Cloud platforms ...

Showing results 41-60

Environmental Data Science information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do environmental data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for environmental data science in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 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 the most commonly searched types of Environmental Data Science jobs in Illinois?

The most popular types of Environmental Data Science jobs in Illinois are:

What are popular job titles related to Environmental Data Science jobs in Illinois?

For Environmental Data Science jobs in Illinois, the most frequently searched job titles are:

What cities in Illinois are hiring for Environmental Data Science jobs?

Cities in Illinois with the most Environmental Data Science job openings:

Infographic showing various Environmental Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Executive Director, Clinical Data Science

Eisai

Chicago, IL โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards.

Strategic Leadership:

  • Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio.
  • Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives.

Innovation & Execution:

  • Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine.
  • Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices.

Risk Management & Problem Solving:

  • Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges.

Thought Leadership & External Engagement:

  • Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices.

Team Leadership & Development:

  • Manage and mentor a diverse team of data scientists and people managers across geographies.
  • Foster career growth through open dialogue, performance management, and strategic development planning.

Operational Excellence:

  • Ensure GxP compliance in data science programming for clinical trials.
  • Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency.

Executive Communication:

  • Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence.

Qualifications

  • Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences.
  • Deep expertise in statistical methods and their application in clinical trials.
  • Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics.
  • Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine).
  • Proven experience presenting at external forums and influencing regulatory authorities.
  • Strong people leadership experience in a Data Science setting.
  • Prior research experience in neurology, particularly Alzheimer's disease biomarkers (plasma, CSF, imaging), strongly preferred.

Eisai Salary Transparency Language:

The annual base salary range for the Executive Director, Clinical Data Science is from :$273,200-$358,600Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Right To Work

E-Verify Participation


Eisai logo

About Eisai

Sourced by ZipRecruiter

Eisai is a global pharmaceutical company (headquartered in Woodcliff Lake, NJ, US), renowned for its innovative research and development in neuroscience and oncology. The primary focus of the company is to provide therapeutic treatments and solutions for diseases like Alzheimer's, cancer, and other neurological disorders. Eisai was founded in Japan in 1941 and has since developed a strong presence across international markets. Eisai's core values center around their philosophy of 'human health care' (hhc), where they aim to make significant and positive contributions to patients and their families' healthcare worldwide.

Industry

Pharmaceutical and medicine manufacturing and biotechnology research and development

Company size

1,001 - 5,000 Employees

Headquarters location

Nutley, NJ, US

Social media