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Applied Statistician Jobs (NOW HIRING)

The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA's product, engineering, and service organizations, influencing ...

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

Strong applied statistical skills, including survival analysis, regression modeling, Bayesian methods, adaptive trial designs, and more. * Advanced knowledge of statistical programming packages ...

Statistician

Houston, TX · On-site

$42/hr

The position requires expertise in statistical modeling, data engineering, and applied machine learning, with a focus on producing actionable findings that inform early childhood workforce ...

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Applied Statistician information

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$40.5K

$83.7K

$117K

How much do applied statistician jobs pay per year?

As of Aug 11, 2026, the average yearly pay for applied statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry but typically ranges from $70,000 to $120,000 annually. Senior roles or those with specialized skills in data analysis, programming, and statistical software can earn higher salaries, often exceeding $130,000.

What is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to analyze data and inform decision-making. They often use tools like R, SAS, or Python and may work in research, data analysis, or consulting roles. These jobs typically require strong analytical skills and knowledge of statistical techniques and software.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What cities are hiring for Applied Statistician jobs? Cities with the most Applied Statistician job openings:
What states have the most Applied Statistician jobs? States with the most job openings for Applied Statistician jobs include:
What job categories do people searching Applied Statistician jobs look for? The top searched job categories for Applied Statistician jobs are:
What are popular job titles related to Applied Statistician jobs? For Applied Statistician jobs, the most frequently searched job titles are:
Infographic showing various Applied Statistician job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

$62K - $80K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title
Associate Statistician
Salary
$62,000 - $80,000
Job Classification
Salaried
Location
Fort Collins, CO 80527 US (Primary)
Golden Valley, MN 55426 US
Laramie, WY 82072 US
Job Type
Regular
# of Hires Needed
1
Application Deadline
Job Description

Western EcoSystems Technology, Inc. (WEST), a dynamic medium size, employee-owned consulting firm with offices across the United States and Canada, has an exciting and immediate opportunity for an Associate Statistician (regular, full-time)in the Fort Collins, CO, Golden Valley, MN, or Laramie, WY, office.

WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.

Please click here to see what benefits WEST offers!

The minimum base salary for thisposition is $62,000 - $80,000, plus annual bonus.Salary may vary based on education, knowledge, and experience.

Job Summary:

The successful candidate must be a self-starter who enjoys research, learning new analytical techniques to solve challenging problems, and communicating and interacting with people (both co-workers and clients). Additionally, the successful candidate should provide technical solutions and advise co-workers and clients on complex statistical analyses.

Responsibilities include:

  • Conduct statistical analyses for environmental, ecological, renewable energy, and natural resource projects.
  • Perform quality assurance and quality control (QA/QC) reviews of datasets, analyses, and deliverables.
  • Develop, maintain, and document reproducible analytical workflows using R and other statistical software.
  • Prepare high-quality tables, figures, summaries, and other analytical products suitable for technical reports and client deliverables
  • Support multiple projects simultaneously while meeting deadlines, budgets, and project objectives.
  • Collaborate with biologists, data analysts, statisticians, GIS specialists, and other technical professionals to develop practical solutions to project challenges.
  • Communicate statistical methods, assumptions, limitations, and results clearly to project managers and interdisciplinary project teams.
  • Effectively use version control systems and collaborative coding practices.

This is a general description of the functions for this position and is not inclusive of all the duties which may be associated with this position.

Job Requirements

Minimum Qualifications:

  • MS in statistics.
  • 2 or more years of experience as an applied statistician in ecology, fisheries, or wildlife research.
  • Relevant experience in statistical consulting.
  • Proficient in statistical programming and advanced data manipulation in R.
  • Experience with some or all of the follow analysis methods: generalized linear modeling, bootstrapping and simulation, spatial analysis, Bayesian hierarchical modeling, and survival analysis.
  • Excellent time management and organizational skills with the ability to work well under time constraints and meet deliverable targets and deadlines.
  • Ability to write proposals, manage deadlines, and collaborate with others.
  • Excellent written and oral communication skills.
  • Experience with relational database systems and data manipulation.
  • Experience with data management and geographical information systems (ArcGIS, QGIS, etc.).
  • Ability to effectively use Microsoft Office applications.

Physical Requirements:

  • Sitting for long periods of time

After an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST's minimum criteria to operate a motor vehicle on behalf of the company. A valid driver's license will be required.

WEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.

Education
Master's Degree
Salary Grade
Exemption Type
Exempt