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Applied Statistician Jobs (NOW HIRING)

KLA

Staff Statistician

Milpitas, CA · On-site

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

KLA Corporation

Staff Statistician

Milpitas, CA · On-site

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 ...

Orbotech

Staff Statistician

Milpitas, CA

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 ...

KLA Corporation

Staff Statistician

Milpitas, CA

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 ...

GM Financial

Risk Statistician

Fort Worth, TX · On-site

Advanced knowledge of applied statistical methodologies * Knowledge of quantitative, analytical and data mining * Knowledge of SAS, Excel, Word and PowerPoint * Knowledge of spreadsheet modeling and ...

GM Financial

Risk Statistician

Fort Worth, TX · Hybrid

Advanced knowledge of applied statistical methodologies * Knowledge of quantitative, analytical and data mining * Knowledge of SAS, Excel, Word and PowerPoint * Knowledge of spreadsheet modeling and ...

Ipsos

Statistician

Washington, DC

$100K - $120K/yr

This Associate Statistician (Data Science Focus) will be a member of the USPA Data Analytics and Applied Sciences (DAAS) group. DAAS is a team of survey methodologists, statisticians, and Ph.D ...

Ipsos

Statistician

Washington, DC · On-site

$100K - $120K/yr

This Associate Statistician (Data Science Focus) will be a member of the USPA Data Analytics and Applied Sciences (DAAS) group. DAAS is a team of survey methodologists, statisticians, and Ph.D ...

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All JobsApplied Statistician Jobs

Applied Statistician information

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$40.5K

$83.7K

$117K

How much do applied statistician jobs pay per year?

As of Jul 22, 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 jobs make $1,000,000 a year?

Applied statisticians typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles, successful entrepreneurs, hedge fund managers, or top-tier investment professionals. High earnings in related fields often require extensive experience, advanced skills, and sometimes ownership of a business or investment portfolio.

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.

Is AI replacing statisticians?

Applied statisticians use AI and machine learning tools to analyze data and develop models, but AI is not replacing the need for human expertise. Statisticians interpret results, ensure data quality, and apply domain knowledge that AI cannot fully replicate. The role continues to evolve with technology, emphasizing skills in programming, statistical methods, and data management.

What does an applied statistician do?

An applied statistician analyzes data to solve real-world problems by designing experiments, collecting data, and using statistical methods and software to interpret results. They often work in industries like healthcare, finance, or technology, applying techniques such as regression, hypothesis testing, and data modeling to inform decision-making.

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.

More about Applied Statistician jobs
What cities are hiring for Applied Statistician jobs? Cities with the most Applied Statistician job openings:
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Applied Statistician jobs near you
Infographic showing various Applied Statistician job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Staff Statistician

Staff Statistician

KLA

Milpitas, CA • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA’s product, engineering, and service organizations, influencing outcomes across multiple teams and programs.
Responsibilities:
• Define and own KLA’s use of statistical methods in the product life cycle.
• Partner with senior engineering and product leaders to align statistical insights with business, roadmap, and risk decisions.
• Identify new opportunities for the application of statistical methods in a variety of areas.
• Foster a culture of statistical rigor, intellectual curiosity, and multi-functional collaboration.
• Define and deliver hands-on statistics' training to engineers
• Design, implement, and analyze experiments (e.g., DOE) to support product and process development, and equipment performance in our customer sites.
• Review and validate critical analyses that inform high‑impact product, quality, or customer decisions.
• Develop and maintain statistical models for manufacturing, process capability, measurement repeatability, equipment matching, equipment performance and equipment reliability.
• Perform root cause analysis using statistical tools to identify and resolve process and product issues.
• Create dashboards and software analytics for monitoring key indicators for manufacturing and field performance.
• Provide training and consulting to colleagues and teams on statistical methods, data analysis techniques, and best practices to foster a culture of continuous improvement and data-driven decision making.
• Serve as a trusted advisor to engineering, product, quality, and operations leadership.
• Form cross-functional teams to solve customer escalation problems
• Translate complex statistical results into clear, actionable narratives for executive and non‑technical audiences.
• Communicate statistical findings and recommendations to technical and non-technical stakeholders and key customers, at any level of management and technical sophistication.
Qualifications:
Required:
• Master’s or Ph.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 manufacturing, engineering, or high-tech environment.; 8+ years desired.
• Excellent training, communication, presentation, and interpersonal skills.
• Expert user of statistical software (e.g., JMP, Minitab, SPSS, R, or SAS). Some scripting and programming experience is desired.
• Strong understanding of experimental design, regression analysis, multivariate analysis, and process control.
• Demonstrated experience in analyzing large and complex datasets, as well as small datasets, for maximum insights.
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.

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