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How much do mathematics statistics jobs pay per year?

As of Jun 7, 2026, the average yearly pay for mathematics statistics in the United States is $55,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $61,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Mathematics Statistician, you need strong analytical skills, a solid background in mathematics and statistics, and typically at least a bachelor's or master's degree in a related field. Proficiency in statistical software such as R, SAS, Python, or SPSS and familiarity with data analysis tools are essential. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data accurately and present findings clearly. These skills are crucial for making informed decisions, ensuring data integrity, and providing valuable insights in research, business, or policy development.

What are mathematics statisticians?

Mathematics statisticians are professionals who use mathematical theories and statistical methods to collect, analyze, and interpret data. They help solve real-world problems in fields like business, healthcare, government, and science by identifying trends and making predictions. Their work is essential for making informed decisions, designing experiments, and ensuring the accuracy of data-driven conclusions.

What is the difference between Mathematics Statistics vs Data Analyst?

AspectMathematics StatisticsData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related fieldsBachelor's degree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, government agenciesBusiness, finance, marketing, tech companies
Employer & Industry UsageResearch institutions, universities, governmentCorporations, consulting firms, startups
Common Search & ComparisonMathematics Statistics vs Data Analyst

Mathematics Statistics focuses on developing and applying statistical theories and models, often in research or academic settings. Data Analysts interpret data to provide actionable insights for businesses. While both roles require strong analytical skills, Mathematics Statistics emphasizes theoretical understanding, whereas Data Analysts focus on practical data interpretation and visualization.

What are some common challenges faced by professionals working in mathematics statistics roles?

Professionals in mathematics statistics often encounter challenges such as interpreting complex data sets, ensuring the accuracy of statistical models, and communicating technical findings to non-specialist stakeholders. Balancing multiple projects with tight deadlines and staying updated with evolving analytical tools can also be demanding. However, these challenges foster continuous learning and collaboration, as statisticians regularly work with cross-functional teams to solve real-world problems and drive data-driven decisions.
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Mathematics Statistics jobs near you
Infographic showing various Mathematics Statistics job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $55,366 per year, or $26.6 per hour.
Post doctoral researcher in Mathematics or Statistics

Post doctoral researcher in Mathematics or Statistics

University Of Maryland Baltimore County

Catonsville, MD • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Description The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Applied Mathematics or Statistics, in particular relating to data science applications". The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D.

in applied mathematics, statistics, biostatistics, machine learning or a related field before their appointment start date. Successful candidates are expected to carry out research, collaborate with faculty members, apply for external funding, and teach courses. Qualifications Candidates in all areas of applied mathematics and statistics may apply.

Our interests include but are not limited to analysis and computation of partial differential equations and applications; stochastic processes and applications (e.g. mathematical biology, data science); mathematical biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration, neuromechanical locomotion, network synchronization), parameter estimation (e.g.

in epidemiological spread, chemical reaction networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; statistical applications to biomedical problems and precision medicine. Application Instructions Applicants should apply using: http://apply.interfolio.com/158844 Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.

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