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Environmental Data Scientist Jobs (NOW HIRING)

Experience with cloud-based environments (e.g., AWS) or Linux * Strong communication skills and the ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Environmental Scientist I

Bismarck, ND · On-site

$50K - $60K/yr

You will be responsible for collecting, analyzing, and interpreting environmental data to assess ... Bachelor's degree in Environmental Science, Biology, Chemistry, Geology, or a related scientific ...

Experience with cloud-based environments (e.g., AWS) or Linux * Strong communication skills and the ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Experience with cloud-based environments (e.g., AWS) or Linux * Strong communication skills and the ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

... agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data ...

Environmental Scientist I

Bismarck, ND · On-site

$50K - $60K/yr

You will be responsible for collecting, analyzing, and interpreting environmental data to assess ... Bachelor's degree in Environmental Science, Biology, Chemistry, Geology, or a related scientific ...

Environmental Scientist

Morristown, NJ · Hybrid

$77K - $101K/yr

Environmental Scientist / Asst Project Manager This role offers an excellent opportunity for a ... Collect, analyze, and interpret environmental data, including laboratory results, to support ...

New

Environmental Scientist

Newark, NJ · Hybrid

$78K - $102K/yr

Environmental Scientist / Asst Project Manager This role offers an excellent opportunity for a ... Collect, analyze, and interpret environmental data, including laboratory results, to support ...

... environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

... big-data environment. * Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or ... Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

... modern threat environment. Sphinx provides services to an array of clients within the US ... Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and ...

Showing results 41-60

Environmental Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do environmental data scientist jobs pay per year?

As of Jul 25, 2026, the average yearly pay for environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Environmental Data Scientists can enter the field at any age, as skills in programming, statistics, and domain knowledge are more important than age. Many professionals transition into data science later in their careers by gaining relevant certifications or training. Age should not be a barrier if you develop the necessary technical skills and experience.

What are the key skills and qualifications needed to thrive in the Environmental Data Scientist position, and why are they important?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

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 in research or consulting environments.

Is there a high demand for environmental scientists?

Environmental Data Scientists are in high demand due to increasing focus on sustainability, climate change, and environmental regulations. The field offers growth opportunities in government agencies, research institutions, and private companies, often requiring skills in data analysis, GIS, and environmental modeling.

Can data scientists make $300k?

Environmental Data Scientists can potentially earn $300,000 or more, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or senior roles. However, such salaries are typically achieved through senior positions, specialized expertise, or in competitive markets, and are not common for entry-level roles.

What does a typical workday look like for an Environmental Data Scientist?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What is an Environmental Data Scientist job?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What cities are hiring for Environmental Data Scientist jobs? Cities with the most Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Environmental Data Scientist jobs? States with the most job openings for Environmental Data Scientist jobs include:
Infographic showing various Environmental Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

State Farm

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 2 hours ago


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,532 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance


Job description

Overview
State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions.
Applicants for this posting will be considered for a data scientist opening in Enterprise Technology - Data & AI (ET-D&AI). This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science professionals with experience in building AI/ML solutions to enhance customer engagement within our digital platform.
At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. In ET-D&AI you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.
Responsibilities
Data Science at State Farm:
As a data scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills to our data science suites. Below are some of the tasks you can expect in the typical day of a data scientist:
  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary

Why Join Our Data Science Team?
At State Farm, we are dedicated to helping our team members develop to their full potential. As a data scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through Lead/mentor other data scientists, interns, and other technical work teams through interactions with technical and non-technical business partners. Our data scientists also embrace staying current with the evolving data science landscape.
Qualifications
Requirements:
  • Completed master's or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For:
  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance).

The Selection Process:
1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.
What Else?
- Competitive Benefits, Pay and Bonus Potential: Who doesn't want money, right?
- Volunteer opportunities: Get involved and give back to the community!
- Continuing Education Support: We support opportunities for you to learn and grow!
- A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
- Exceptional 401k Plan
- We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!
Learn more about our benefits at State Farm Careers!
HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department's approach and what it means for you.
HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL
We are not just offering a job but a meaningful career! We're here to help life go right®
Come join our passionate team!
SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.
Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
  • Potential starting salary range: $112,000 - $151,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!
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