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Statistical Ecology Jobs (NOW HIRING)

$19 - $26/hr

... forest ecology and management. Most work will be at local research sites and include forest ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$61K/yr

D. in entomology, ecology, evolutionary biology, or related fields of study. The successful ... CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

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Statistical Ecology information

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$68K

$90.1K

$107.5K

How much do statistical ecology jobs pay per year?

As of Jul 8, 2026, the average yearly pay for statistical ecology in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Ecology vs Ecological Data Analyst?

AspectStatistical EcologyEcological Data Analyst
Required CredentialsDegree in Ecology, Statistics, or related field; often requires advanced statistical trainingDegree in Ecology, Data Science, or related field; strong data analysis skills
Work EnvironmentResearch institutions, environmental agencies, academiaEnvironmental consulting firms, research organizations, government agencies
Industry UsageDesigns and applies statistical models to ecological dataAnalyzes ecological datasets to inform conservation and management decisions

While both roles involve ecological data, Statistical Ecology focuses on developing and applying statistical models to understand ecological systems, whereas Ecological Data Analysts primarily process and interpret ecological data to support decision-making. Both roles require strong statistical and ecological knowledge but differ in their core focus and application.

What is statistical ecology?

Statistical ecology is a scientific field that combines statistical methods with ecological studies to analyze and interpret complex data about ecosystems, species, and environmental processes. It involves developing and applying statistical models to understand patterns in biodiversity, species distribution, population dynamics, and ecological interactions. Statistical ecologists use data from field observations, experiments, and remote sensing to answer ecological questions, inform conservation efforts, and guide environmental policy. The field is essential for addressing challenges such as habitat loss, climate change, and species conservation by providing evidence-based insights.

How does a Statistical Ecologist typically collaborate with field ecologists and data scientists during a research project?

Statistical Ecologists often work closely with field ecologists to design studies and ensure that data collection protocols will yield statistically valid results. They also collaborate with data scientists to manage, clean, and analyze large ecological datasets, applying advanced statistical models to interpret complex ecological patterns. Effective communication and teamwork are essential, as Statistical Ecologists must translate scientific questions into analytical approaches and clearly present findings to multi-disciplinary teams. This collaborative environment fosters a dynamic workflow, with regular meetings and shared problem-solving to address emerging research challenges.

What are the key skills and qualifications needed to thrive as a Statistical Ecologist, and why are they important?

To thrive as a Statistical Ecologist, you need a solid background in statistics, ecology, and data analysis, often supported by an advanced degree in ecology, statistics, or a related field. Familiarity with statistical software such as R, GIS platforms, and experience with ecological modeling tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to diverse audiences help set candidates apart. These skills ensure accurate analysis of ecological data, effective research outcomes, and actionable insights for conservation and management efforts.
Infographic showing various Statistical Ecology job openings in the United States as of July 2026, with employment types broken down into 54% Full Time, 37% Part Time, 3% Temporary, and 6% Nights. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.
Statistical Scientist (Ph.D.)

Statistical Scientist (Ph.D.)

Exponent Inc.

Bellevue, WA

Full-time

Retirement

Re-posted 19 days ago


Job description

About Exponent

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients' most profoundly unique, unprecedented, and urgent challenges.  

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you'll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 

Key statistics: 

  • 950+ Consultants 
  • 640+ Ph.D.s 
  • 90+ Disciplines 
  • 30+ Offices globally 
Our Opportunity

We are currently seeking a Statistical Scientist for our Data Sciences Practice to be based in our Bellevue, WA office. In this role, you will work as part of a team engaged on diverse projects in the collection, management, visualization, and inferential analysis of data. 

You will be responsible for
  • Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling
  • Applying risk analysis methodologies to problems in engineering, health, finance, ecology, and the environment
  • Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies
  • Developing reports and visualizations to address clients' scientific and engineering problems and to support litigation
You will have the following skills and qualifications
  • Ph.D. in Statistics, Biostatistics, or a related field
  • Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
  • Experience or capabilities in such subject areas as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control/improvement
  • Minimum of 2 years' experience with one or more statistical software packages (SAS and R are preferred)
  • Ability to work independently and in multidisciplinary teams
  • Programming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferred
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required  

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

Life @ Exponent

To learn more about life at Exponent and our impact, please visit the following links:https://www.exponent.com/careers/life-exponent https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 

Work Environment

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite

Compensation

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Salary RangeUSD $133,000.00 - USD $150,000.00 /Yr.Benefits you will enjoy

Access benefits information on our Life@Exponent page: 

https://www.exponent.com/careers/life-exponent 

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. 

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. 

Job LocationsUS-WA-BellevueEmployment Type: FULL_TIME