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Statistician resume template

A clean starting structure with example content grounded in what statisticians actually do day to day, not generic filler. Download and replace the bracketed placeholders with your own details.

Statistician resume template preview: an Australian example with a professional summary, key skills, experience bullet points and education sections filled in

Which resume format should you use?

Reverse chronological

You have a steady work history. This is the format almost every recruiter and ATS expects by default.

Functional

You're changing fields or have gaps in your employment. Leads with skills rather than a job-by-job timeline.

Combination

You're early career or have worked consistently but for only a few employers. Blends a skills summary with a shorter chronological history.

This template uses the reverse chronological format: the one most statisticians should default to, since most Australian recruiters and ATS software expect it.

Professional summary

Statistician who designs surveys and experiments and turns messy data into defensible findings for decision makers. Works across health, government and research settings, combining statistical modelling with R, Python and SAS to deliver analysis that stands up to review. Comfortable sitting between technical teams and the stakeholders who need the answer in plain language.

Key skills

  • Statistical modelling and inference
  • Survey and experimental design
  • Regression, mixed models and Bayesian methods
  • Machine learning methods for prediction and classification
  • R (including tidyverse, Quarto and Shiny)
  • Python (pandas, statsmodels, scikit-learn)
  • SAS and Stata
  • SQL for data extraction and data quality checks
  • Reproducible analysis and version control with Git
  • Sampling, weighting and non-response adjustment
  • Written communication and plain-language reporting
  • Stakeholder management
  • Australian Privacy Principles and research ethics requirements

Experience: example bullet points

  • Redesigned the sampling and weighting for a recurring health survey, oversampling smaller regions so estimates held up below the national level.
  • Rebuilt a monthly reporting process in R and SQL, cutting turnaround from two weeks to three days and removing manual spreadsheet steps.
  • Built regression and mixed models to estimate the effect of a program across sites, then presented the results and caveats to a non-technical steering group.
  • Ran data quality checks across linked administrative datasets, documenting every exclusion so the analysis could be reproduced and audited.
  • Developed a small internal R package so the team could run standard analyses consistently rather than rebuilding code each project.
  • Worked with a client to reframe a vague question into a testable design, which avoided collecting data that would not have answered what they needed.

Education

Bachelor degree in statistics, mathematics or a closely related field, often followed by an honours year or a master's in statistics; experienced statisticians commonly pursue Accredited Statistician (AStat) status through the Statistical Society of Australia.

Keywords an ATS is likely to scan for

Applicant tracking systems match your resume against terms in the job ad before a person ever sees it. Only include the ones that actually apply to your experience, but if a term below matches something you've done, use the same wording the job ad uses.

Getting past ATS screening

This is a starting point, not a guarantee of interviews. Tailor every bullet point to your own real experience and the specific job ad.