Statistician
SOC 15-2041.00 · ESCO 2120 · OSCA 223133
Role snapshot
Overview
Designs experiments and surveys, builds mathematical models, and analyses numerical data to uncover trends and inform decisions across fields like medicine, government, and business. Statisticians apply rigorous quantitative methods to collect, process, and interpret complex data sets, providing critical insights that drive strategic planning and evidence-based policy.
Provides objective, data-driven insights that are crucial for scientific discovery, policy making, business strategy, and product development, directly influencing outcomes in public health, economics, and technology.
On the job
- Develop and implement statistical models for data analysis and prediction.
- Design and oversee data collection methods, including surveys, experiments, and observational studies.
- Interpret complex statistical results and communicate findings to non-technical stakeholders through reports and presentations.
- Advise on data-driven decision-making and provide recommendations based on analytical insights.
- Clean, process, and validate large datasets to ensure accuracy and reliability for analysis.
Tools & technology
Average salary
Job outlook
ExcellentNew job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Education & training
A master's or PhD degree in statistics, mathematics, data science, or a related quantitative field is typically required.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Statistician
Research & Academia
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · ICR
Individuals who enjoy systematic investigation, applying logical reasoning to complex problems, and working with data and precise methods often excel in this role.
Personality characteristics
Curious
Possesses a strong desire to understand underlying mechanisms and explore data for new insights.
Methodical
Applies systematic and logical approaches to problem-solving and experimental design, ensuring rigor.
Detail-oriented
Pays close attention to the nuances of data, statistical assumptions, and model specifications to ensure accuracy.
Objective
Maintains impartiality when interpreting data, ensuring conclusions are based on evidence, not personal bias.
Reserved
Prefers working independently or in small teams, focusing on analytical tasks rather than extensive social interaction.
Resilient
Handles the challenges of complex data, ambiguous problems, and critical review of methods without becoming easily discouraged.
Best for
- People who enjoy deep analytical thinking and quantitative problem-solving.
- Those who are motivated by uncovering patterns and making sense of complex, often ambiguous, data.
- Professionals who thrive in roles that require a blend of mathematical rigor and practical application to real-world issues.
Watch out for
- Requires a high degree of precision and attention to detail, which can be demanding and require sustained focus.
- May involve communicating complex technical concepts to non-technical audiences, which requires strong translation skills.
A week in the life
A representative working week for a Statistician — where the deep work, meetings, and admin actually land.
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