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Remote Environmental Statistician Jobs (NOW HIRING)

Wood Plc

Environmental Statistician

Kennesaw, GA · On-site +1

... Statistics background to join our growing Environmental team and support environmental ... Remote work options available. Company Overview Wood is a global leader in engineering and ...

Miamioh

Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ... environment, we encourage you to read Miami University's Annual Security & Fire Safety Report at ...

Kelly Services

Statistician II part-time

Summit, NJ · On-site +1

$75 - $100/hr

Salary/Pay Rate/Compensation: $75-$100 an hour, depending on experience Remote Part-Time: 10 hours ... Engage with a reputable industry leader in a dynamic and supportive environment. Leverage your ...

Kelly Services

Statistician II part-time

Summit, NJ · On-site +1

$75 - $100/hr

Salary/Pay Rate/Compensation: $75-$100 an hour, depending on experience Remote Part-Time: 10 hours ... Engage with a reputable industry leader in a dynamic and supportive environment. Leverage your ...

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Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

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Remote Environmental Statistician information

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$50.5K

$86.9K

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How much do remote environmental statistician jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote environmental statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Environmental Statistician, and why are they important?

To thrive as a Remote Environmental Statistician, you need strong statistical analysis skills, a solid background in environmental science, and at least a bachelor's or master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, as well as experience with GIS systems and data visualization tools, is typically required. Excellent communication, problem-solving, and self-motivation are essential soft skills for collaborating across remote teams and interpreting complex data. These skills ensure accurate data-driven insights that support critical environmental decision-making and policy development.

How does a Remote Environmental Statistician typically collaborate with multidisciplinary teams across different locations?

As a Remote Environmental Statistician, collaboration is often conducted virtually with ecologists, environmental scientists, data engineers, and policy analysts. Regular video meetings, shared project management tools, and cloud-based data platforms are used to coordinate analyses and ensure clear communication. Effective collaboration requires proactive communication skills, adaptability to different time zones, and a strong understanding of the environmental context behind the data. These interactions help statisticians stay aligned with project goals and contribute valuable insights to environmental decision-making.

What does a Remote Environmental Statistician do?

A Remote Environmental Statistician analyzes data related to environmental science, such as air or water quality, climate change, and ecological impacts. Working remotely, they use statistical methods and software to interpret complex datasets, design experiments, and provide insights that help guide environmental policy and research. Their work supports organizations and researchers in making data-driven decisions to address environmental challenges. They often collaborate with scientists, policymakers, and other stakeholders, sharing their findings through reports and presentations.
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What cities are hiring for Remote Environmental Statistician jobs? Cities with the most Remote Environmental Statistician job openings:
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Remote Environmental Statistician jobs near you
Infographic showing various Remote Environmental Statistician job openings in the United States as of June 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.
Environmental Statistician

Environmental Statistician

Wood Plc

Kennesaw, GA • On-site, Remote

Other

Posted yesterday

Job description

Overview / Responsibilities

Wood is seeking a Scientist with a Statistics background to join our growing Environmental team and support environmental investigation, remediation, and restoration projects.  This position provides the opportunity for the qualified candidate to work on high profile projects in office or remotely.

Key responsibilities:

  • Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams
  • Communicate statistical evaluations and results with the project team, client, and/or regulatory agencies (EPA and state agencies). Typical projects will be performed under CERCLA (Superfund) or RCRA administrative orders and/or guidance
  • Develop sampling designs with input from the project team and communication of the sampling design strategy to our clients and the regulators and other stakeholders
  • Compile, analyze, and summarize environmental data, using modern methods for data management and data analytics. Compilation and preparation of datasets will be in collaboration with database managers using EQuIS or other database software
  • Work and travel safely, follow company and site safety standards, learn and practice company codes for ethics and business conduct
  • Grow as a consultant, demonstrating ability to manage multiple projects at one time while building successful client relationships
Skills / Qualifications
  • Minimum of B.S. in statistics, mathematics, or a science or engineering field
  • Well-versed in R, MATLAB, or other similar statistical software, familiarity with USEPA's ProUCL and/or PNNL's Visual Sample Plan
  • At least 5 years of experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques
  • Experience in investigations and/or remediation of sediment, surface water, biotic tissue, air, groundwater, and/or other related topics
  • Statistical analysis of chemicals/wastes (e.g., mercury, pesticides, PCBs, chlorinated organics, LNAPL/DNAPL organics, coal ash, PFAS) and environmental media (e.g., sediment, fish, groundwater, soil, surface water)
  • Strong skills in technical writing, presentations, and communications
  • Attention to detail, organization abilities and strong time-management capabilities required
  • Geospatial statistical skills (e.g., kriging, interpolations, geostatistical simulation) a plus
  • Experience with Bayesian statistics a plus
  • Experience with censored datasets a plus
  • Master's degree or PhD a plus
  • Must pass drug test, physical, background check, and must have a satisfactory driving record in accordance with the Wood's driving policy

Remote work options available.

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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