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Survey statistician vs data scientist

The differences between survey statisticians and data scientists can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data scientist has an average salary of $106,104, which is higher than the $59,294 average annual salary of a survey statistician.

The top three skills for a survey statistician include statistical techniques, statistical data and statistical analysis. The most important skills for a data scientist are python, data science, and visualization.

Survey statistician vs data scientist overview

Survey StatisticianData Scientist
Yearly salary$59,294$106,104
Hourly rate$28.51$51.01
Growth rate31%16%
Number of jobs14,315106,973
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 51%
Average age3741
Years of experience-4

What does a survey statistician do?

A survey statistician is responsible for collecting and reviewing data and creating reports based on survey findings. Your duties include developing statistical models that will interpret the data accurately and clearly, promoting the organizational goal to increase the participation of respondents in surveys, and guiding junior statisticians in doing statistical reviews. In addition, you will create reports on statistical analysis and insights needed by your employer. Other duties include conducting statistical analysis using SPSS software, proliferating the method that you developed across the organization, and assist with database management.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Survey statistician vs data scientist salary

Survey statisticians and data scientists have different pay scales, as shown below.

Survey StatisticianData Scientist
Average salary$59,294$106,104
Salary rangeBetween $26,000 And $133,000Between $75,000 And $148,000
Highest paying CityWashington, DCRichmond, CA
Highest paying stateMassachusettsCalifornia
Best paying companyInternational Rescue CommitteeThe Citadel
Best paying industryProfessionalStart-up

Differences between survey statistician and data scientist education

There are a few differences between a survey statistician and a data scientist in terms of educational background:

Survey StatisticianData Scientist
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 51%
Most common majorEconomicsComputer Science
Most common collegeUniversity of PennsylvaniaColumbia University in the City of New York

Survey statistician vs data scientist demographics

Here are the differences between survey statisticians' and data scientists' demographics:

Survey StatisticianData Scientist
Average age3741
Gender ratioMale, 56.3% Female, 43.8%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage9%9%

Differences between survey statistician and data scientist duties and responsibilities

Survey statistician example responsibilities.

  • Perform time series and regression analyses of trends in respondents' report finances.
  • Adapt SAS programs to streamline the process of reviewing publish detailed health insurance tables.
  • Publish online user documentation that explain how to use and interpret invidual SAS data sets.
  • Translate complicated results into knowledge accessible for the public using descriptive statistics, as well as linear and logistic regression.
  • Guide junior-level mathematical statisticians in their statistical reviews and interactions with industry officials to comply with the goals of the FDA.
  • Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
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Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
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Survey statistician vs data scientist skills

Common survey statistician skills
  • Statistical Techniques, 22%
  • Statistical Data, 13%
  • Statistical Analysis, 8%
  • Data Analysis, 8%
  • Statistical Software, 8%
  • SAS, 7%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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