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Remote Environmental Science Masters Jobs in Romeoville, IL

Senior Data Scientist

Chicago, IL ยท On-site +1

$201K - $248K/yr

... growth environment * Strong applied analytics / data science foundation (statistics ... Remote friendly * Expect ~1 week of travel per quarter to either our Chicago or Redwood City ...

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab.

Project Engineer

Chicago, IL ยท On-site +1

$70K - $85K/yr

This position reports directly to the Associate Area Operations Manager and will be a fully remote ... Management, Environmental Science, or related field * 3-5+ years of professional experience in ...

Showing results 41-60

Remote Environmental Science Masters information

See Romeoville, IL salary details

$52.5K

$102.1K

$150.9K

How much do remote environmental science masters jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote environmental science masters in Romeoville, IL is $102,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $114,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working remotely with a master's in environmental science, and how can they be addressed?

Professionals with a remote Environmental Science Master's degree often face challenges such as limited fieldwork opportunities, time zone coordination with global teams, and maintaining effective communication with colleagues. To overcome these, it's important to leverage technology for virtual collaboration, proactively schedule regular check-ins, and seek out remote research or data analysis projects that align with your expertise. Building a strong professional network online can also help you stay connected to industry developments and potential collaborators.

What are the key skills and qualifications needed to thrive as a remote environmental science master's graduate?

To thrive as a Remote Environmental Science Master's graduate, you need strong analytical skills, a solid understanding of environmental systems, and an advanced degree (MS or MSc) in environmental science or a related field. Familiarity with GIS software, statistical analysis tools, and remote sensing technologies is typically required. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for success in remote and collaborative work environments. These skills and qualities are important for effectively conducting research, interpreting data, and providing actionable solutions to environmental challenges from a remote setting.

What is a remote environmental science masters program?

A Remote Environmental Science Masters program is a graduate-level degree that can be completed primarily or entirely online, allowing students to study environmental science from anywhere with internet access. These programs cover topics such as ecology, sustainability, environmental policy, and resource management. They are designed for working professionals or students who need flexibility in their schedules. Coursework typically includes lectures, interactive assignments, research projects, and sometimes virtual labs. Graduates are prepared for careers in environmental consulting, policy, research, or further academic study.
What cities near Romeoville, IL are hiring for Remote Environmental Science Masters jobs? Cities near Romeoville, IL with the most Remote Environmental Science Masters job openings:

Machine Learning Quantitative Researcher - Work From Home

Next Step Systems

Chicago, IL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life

Re-posted 29 days ago


Job description

Machine Learning Quantitative Researcher - Work From Home
We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.
Machine Learning Quantitative Researcher Responsibilities:
We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts.
You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production.
Machine Learning Quantitative Researcher Qualifications:
- Bachelor's in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
Machine Learning Quantitative Researcher Preferred Experience
- Practical experience applying machine learning techniques for trading applications.
- Experience with high-performance computing (HPC) environments such as SLURM.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.).
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
Keywords: Chicago IL Jobs, Machine Learning Quantitative Researcher, Machine Learning, Quant Researcher, Statistics, C++, Python, Linux Stack, Test Driven Development, TDD, CI/CD, Distributed Computing, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Machine Learning Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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