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Applied Statistician Jobs in Utah (NOW HIRING)

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT · On-site

$84K - $103K/yr

Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and ... Design, train, and rigorously validate machine learning and statistical models in data-limited and ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Applied Research Solutions

Senior Mechanical Engineer

UT · On-site

$96K - $126K/yr

Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated ... statistical evaluations to resolve technical issues and improve system performance. * Prepare and ...

GE HealthCare

Service Data Scientist

Salt Lake City, UT · On-site

... applied analytics, predictive analytics, and prescriptive analytics. • Perform exploratory and targeted data analyses using descriptive statistics and other methods. • Work with data engineers on ...

Gehc

Service Data Scientist

Salt Lake City, UT

... applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data ...

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All JobsApplied Statistician JobsApplied Statistician Jobs in Utah

Applied Statistician information

See Utah salary details

$36.9K

$76.2K

$106.5K

How much do applied statistician jobs pay per year?

As of Sep 2, 2026, the average yearly pay for applied statistician in Utah is $76,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $105,600.00 per year, depending on experience, location, and employer.

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 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 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 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 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 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 with advanced skills in statistical software and data analysis can earn higher salaries, especially in competitive markets or specialized sectors.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to solve real-world problems. They often analyze data, develop models, and use tools like R, SAS, or Python to inform decision-making and policy. These roles typically require strong analytical skills and knowledge of statistical software and techniques.
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What job categories do people searching Applied Statistician jobs in Utah look for?

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What are popular job titles related to Applied Statistician jobs in UT?

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Applied Statistician jobs near you
Infographic showing various Applied Statistician job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $76,159 per year, or $36.6 per hour.

Mathematical Statistics Series

US Department of the Air Force

Hill Air Force Base, UT

$63K/yr

Full-time

Re-posted 15 days ago

Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions and the Individual Occupational Requirement (IOR) for the GS-1529 Series.
BASIC REQUIREMENTS FOR ALL GRADE LEVELS:
Bachelor's degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as show above, plus appropriate experience or additional education.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE:
GS-11: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific process. Experience in related disciplines to design, develop and adapt scientific methods and techniques.
OR
EDUCATION: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. NOTE: You must submit copy of official transcripts.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience may be used to qualify for this position as long as the computed percentage of the requirements is at least 100 percent. NOTE: You must submit a copy of official transcripts.
GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience include space surveillance systems substantially similar in functionality, relevant mathematical and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work statements and development plans, cost evaluations, etc.
GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature.
GS-14: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature, skill in coordinating extensive projects in assigned areas of engineering principals, knowledge of regulations and mission and strategic objectives.
GS-15 Applicants must have at least one (1) year of specialized experience at the next lower grade GS-14, or equivalent in other pay systems. Examples of specialized experience include space surveillance network, space operational processes and procedures, orbital mechanics, applied physics and mathematics, applying and using mathematical and simulation models to verify and validate space systems. Broad management principles associated with directing highly skilled technical personnel and combining in house and external resources for complex analytical and technical projects.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge or mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes, knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques.
2. Knowledge in space surveillance systems substantially similar in functionality in order to design, test or upgrade software, knowledge of administrative aspects of task engineering and management.
3.Skill in broad areas of classical and modern higher mathematics to originate and develop mathematical models in cyber systems.
4. Knowledge of mathematics and physics for own independent research in antennas and propagation, electromagnetic systems concepts involving microwave antennas, radar, communications and RF sensor technology.
5. Knowledge of of safety and security regulations, practices and procedures, space surveillance network, space operational processes and procedures.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER

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