What does an applied statistician do?
Applied statistician responsibilities
Here are examples of responsibilities from real applied statistician resumes:
- Develop SAS and MATLAB modules to automate these analyses and generate reports.
- Attend Webinars from firms like FICO and SAS.
- Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
- Set up and maintain UNIX and LINUX machines.
Applied statistician skills and personality traits
We calculated that 35% of Applied Statisticians are proficient in MATLAB, SAS, and Statistical Analysis. They’re also known for soft skills such as Analytical skills, Communication skills, and Math skills.
We break down the percentage of Applied Statisticians that have these skills listed on their resume here:
- MATLAB, 35%
Developed MATLAB program for analyzing time-series data using Fourier analysis.
- SAS, 20%
Create automated reports or other programming and analytic processes through SAS geared toward improving the Foreign Trade statistics programs and data.
- Statistical Analysis, 20%
Applied Statistician, Department of Medical and Molecular Genetics Collaborated with researchers across departments to determine statistical analysis.
- Visualization, 14%
Created data visualization tools for researchers to explore the results of next-generation sequencing experiments.
- Regression, 8%
Employed sophisticated Latent Class Regression Modeling and Latent Clustering Technique to create enterprise level segmentation for all major Sanofi-Aventis brands.
- R, 4%
Developed dynamic financial analysis in R to simulate catastrophic risks holistically by correlating assets and liabilities via copulas.
Common skills that an applied statistician uses to do their job include "matlab," "sas," and "statistical analysis." You can find details on the most important applied statistician responsibilities below.
Analytical skills. One of the key soft skills for an applied statistician to have is analytical skills. You can see how this relates to what applied statisticians do because "mathematicians and statisticians use mathematical techniques and models to evaluate large amounts of data." Additionally, an applied statistician resume shows how applied statisticians use analytical skills: "used local area network to transport data to/from dos and unix. "
Communication skills. Another soft skill that's essential for fulfilling applied statistician duties is communication skills. The role rewards competence in this skill because "mathematicians and statisticians must be able to explain technical concepts and solutions in nontechnical ways." According to an applied statistician resume, here's how applied statisticians can utilize communication skills in their job responsibilities: "established and maintained sound working relationships and effective communication within the clinical trial team and the b&sr; team. "
Math skills. Another skill that relates to the job responsibilities of applied statisticians is math skills. This skill is critical to many everyday applied statistician duties, as "mathematicians and statisticians use statistics, calculus, and linear algebra to develop their models and analyses." This example from a resume shows how this skill is used: "perform mathematical and statistical modeling of precipitation data, develop methodologies and software. "
Problem-solving skills. For certain applied statistician responsibilities to be completed, the job requires competence in "problem-solving skills." The day-to-day duties of an applied statistician rely on this skill, as "mathematicians and statisticians must devise solutions to problems encountered in science, engineering, and other fields." For example, this snippet was taken directly from a resume about how this skill applies to what applied statisticians do: "develop new or modify existing sas datasets for statistical data analysis to support client reporting solutions. "
The three companies that hire the most applied statisticians are:
- REDW3 applied statisticians jobs
- JPMorgan Chase & Co.2 applied statisticians jobs
- Essential
2 applied statisticians jobs
Compare different applied statisticians
Applied statistician vs. Biometrician
Most of the research biostatisticians oversee clinical trials and gather data for the development of new treatment interventions. They ensure that legal, scientific protocols are followed but are concerned with the accurate gathering and evaluation of data and recording. Research biostatisticians prepare results that outline findings, information, and implications of these trials, and present them for new treatment modalities. Part of their tasks is to enforce ethical consideration in trial programs, analyze and report findings for future research, and develop standards for data collection procedures.
There are some key differences in the responsibilities of each position. For example, applied statistician responsibilities require skills like "visualization," "ensemble methods," "gis," and "data gathering." Meanwhile a typical biometrician has skills in areas such as "forests," "analyze data," "biometrics," and "statistical support." This difference in skills reveals the differences in what each career does.
Biometricians tend to reach similar levels of education than applied statisticians. In fact, biometricians are 4.5% less likely to graduate with a Master's Degree and 21.1% more likely to have a Doctoral Degree.Applied statistician vs. Statistical consultant
In addition to the difference in salary, there are some other key differences worth noting. For example, applied statistician responsibilities are more likely to require skills like "matlab," "sas," "visualization," and "ensemble methods." Meanwhile, a statistical consultant has duties that require skills in areas such as "statistical data analysis," "sas/graph," "spss," and "python." These differences highlight just how different the day-to-day in each role looks.
Statistical consultants earn similar levels of education than applied statisticians in general. They're 2.3% more likely to graduate with a Master's Degree and 21.1% more likely to earn a Doctoral Degree.Applied statistician vs. Research biostatistician
There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, an applied statistician is likely to be skilled in "visualization," "ensemble methods," "gis," and "data gathering," while a typical research biostatistician is skilled in "study design," "research projects," "stata," and "clinical trials."
Research biostatisticians typically earn lower educational levels compared to applied statisticians. Specifically, they're 17.9% less likely to graduate with a Master's Degree, and 9.7% less likely to earn a Doctoral Degree.Applied statistician vs. Human resource statistician
Even though a few skill sets overlap between applied statisticians and human resource statisticians, there are some differences that are important to note. For one, an applied statistician might have more use for skills like "matlab," "visualization," "regression," and "ensemble methods." Meanwhile, some responsibilities of human resource statisticians require skills like "statistical data," "statistical models," "statistical tests," and "statistical methods. "
The average resume of human resource statisticians showed that they earn higher levels of education compared to applied statisticians. So much so that theyacirc;euro;trade;re 9.2% more likely to earn a Master's Degree and less likely to earn a Doctoral Degree by 0.0%.Types of applied statistician
Updated January 8, 2025
