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Applied Statistics Jobs (NOW HIRING)

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5.9K - $6.7K/mo

Thomas's Computer and Information Sciences department invites applications for an Adjunct Faculty member to teach one or more applied statistics courses including introduction to statistics, applied ...

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5.9K - $6.7K/mo

Thomas's Computer and Information Sciences department invites applications for an Adjunct Faculty member to teach one or more applied statistics courses including introduction to statistics, applied ...

KLA

Staff Statistician

Milpitas, CA · On-site

... applied statistics, probability modeling, and reliability analytics across KLA's product, engineering, and service organizations, influencing outcomes across multiple teams and programs.

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How much do applied statistics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for applied statistics 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.

Is AI replacing statisticians?

Applied statisticians use AI and machine learning tools to analyze data and develop models, but AI is generally seen as a complement rather than a replacement. Statisticians' expertise in designing experiments, interpreting results, and understanding data context remains essential in ensuring accurate and meaningful insights.

What are typical projects or responsibilities for professionals in Applied Statistics?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What do you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation to support decision-making. Professionals often use tools like R, Python, or SQL and may work in industries such as healthcare, finance, or technology. The degree provides a foundation for applying statistical methods to real-world problems and often requires strong analytical and communication skills.

What is an Applied Statistics job?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

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. Entry-level positions may start around $60,000, while experienced statisticians with advanced skills in programming and data analysis can earn over $130,000 or more.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

More about Applied Statistics jobs
What cities are hiring for Applied Statistics jobs? Cities with the most Applied Statistics job openings:
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Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Assistant Professor - Mathematics & Computer Science

Assistant Professor - Mathematics & Computer Science

University of St. Thomas

Houston, TX • On-site

Full-time

Posted 25 days ago

Be an early applicant

Job description

The Department of Mathematics, Statistics, and Computer Science at the University of St. Thomas (Houston, TX) seeks applicants for a tenure-track faculty position at the rank of Assistant Professor to begin in the Fall of 2026. terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background). The successful candidate will be able to contribute to the academic and scholarly work of the department and the university, and also to identify strongly with the university's Catholic liberal arts identity and its Basilian mission.

Located in Houston, Texas, the University of St. Thomas is a private institution committed to the liberal arts and to the religious, ethical, and intellectual tradition of Catholic higher education. The Computer Science program is adopting an innovative curriculum for Computer Science, anchored in a Socio-technical and situated learning pedagogy along with a highly interdisciplinary and collaborative approach. Some of our partnerships include the Center for Health and Science Professions, the Data-Inspired Discovery and Algorithmic Fairness Lab, and the UST STEM Center, among others. The campus is located in Houston's Museum District and Innovation Corridor, a diverse and vibrant urban environment with professional opportunities. We're just steps from downtown and the famed Texas Medical Center.

Responsibilities include:

The successful candidate is expected to:

  • Teach undergraduate courses in basic mathematics, applied statistics, and data analysis.
  • Teach and develop appropriate graduate courses in the Master's of Applied Data Science program.
  • Contribute to the development and general growth of the Master of Applied Data Science program.
  • Develop an undergraduate research program.
  • Participate in service activities as needed by the department and the university.

Qualifications:

The successful candidate is expected to possess:

  • A terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background).
  • A demonstrated excellence in teaching or demonstrable ability and or commitment to teaching excellence.
  • A demonstrated track record of scholarship and service activities.
  • An expressed desire and commitment to support the university's mission.

In addition to addressing qualifications and experience, the cover letter should address the candidate's resonance with the university's mission and with Catholic liberal arts higher education and provide a statement of adherence to Ex Corde Ecclesiae.

Applicants should attach: a) a cover letter with a clear description of experience relevant to the position; b) a CV including a list of three references; c) a two-page statement of teaching philosophy, and d) a two-page statement of scholarship.

The review of applications will begin immediately and will continue until the position is filled.

The University of St. Thomas is an Equal Opportunity Employer


Job Posted by ApplicantPro