Statistician
Science & ResearchYou collect, analyze, and interpret numerical data to solve real-world problems — which means you're the person who tells everyone else whether their theory is actually supported by evidence or just wishful thinking. You'll design studies, build statistical models, and present findings to people who want you to confirm what they already believe. Spoiler: the data usually has other plans.
Salary Range
Low
$60k
Median
$96k
High
$150k
10-Year Growth
much faster
US Workers
35K
Education
Master's in statistics, mathematics, or related quantitative field (PhD for research positions)
Environment
indoor
Tools & Technical Skills
- ▸Statistical software (R, SAS, Python/statsmodels)
- ▸Experimental design and survey methodology
- ▸Regression analysis and GLMs
- ▸Bayesian inference and probability modeling
- ▸Data visualization (ggplot2, Tableau, Matplotlib)
- ▸Sample size estimation and power analysis
People & Mindset Skills
- ▸Logical and quantitative reasoning
- ▸Clear explanation of complex results
- ▸Intellectual rigor and honesty
- ▸Collaboration with domain experts
- ▸Patience with messy real-world data
Learn the skills
Courses and certifications to get you job-ready
Statistical software (R, SAS, Python/statsmodels)
What you'll actually do
- 01Design experiments and surveys with sample sizes and methodologies that will actually produce valid results
- 02Build statistical models using R, Python, or SAS and validate them against reality, which is always messier than the model
- 03Interpret results for clients and colleagues who either don't understand p-values or think they do (which is worse)
- 04Clean datasets that arrive with missing values, outliers, and formatting issues that take longer to fix than the actual analysis
- 05Write reports that translate complex statistical findings into language that decision-makers can act on
- 06Explain to people why correlation doesn't equal causation — repeatedly, forever, to the end of time
Related Shifts
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