Time study statistician vs data scientist

The differences between time study 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 $57,065 average annual salary of a time study statistician.

The top three skills for a time study statistician include statistical methods, and . The most important skills for a data scientist are python, data science, and visualization.

Time study statistician vs data scientist overview

	Time Study Statistician	Data Scientist
Yearly salary	$57,065	$106,104
Hourly rate	$27.44	$51.01
Growth rate	31%	16%
Number of jobs	1,812	106,973
Job satisfaction	-	-
Most common degree	Master's Degree, 44%	Bachelor's Degree, 51%
Average age	37	41
Years of experience	-	4

Time study statistician vs data scientist salary

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

	Time Study Statistician	Data Scientist
Average salary	$57,065	$106,104
Salary range	Between $25,000 And $127,000	Between $75,000 And $148,000
Highest paying City	-	Richmond, CA
Highest paying state	-	California
Best paying company	-	The Citadel
Best paying industry	-	Start-up

Differences between time study statistician and data scientist education

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

	Time Study Statistician	Data Scientist
Most common degree	Master's Degree, 44%	Bachelor's Degree, 51%
Most common major	Criminal Justice	Computer Science
Most common college	University of Pennsylvania	Columbia University in the City of New York

Time study statistician vs data scientist demographics

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

	Time Study Statistician	Data Scientist
Average age	37	41
Gender ratio	Male, 64.3% Female, 35.7%	Male, 79.6% Female, 20.4%
Race ratio	Black 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 Percentage	9%	9%

Differences between time study statistician and data scientist duties and responsibilities

Time study statistician example responsibilities.

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.

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.

Time study statistician vs data scientist skills

Common time study statistician skills

Statistical Methods, 100%

Common data scientist skills

Python, 13%
Data Science, 10%
Visualization, 5%
Java, 4%
Hadoop, 4%
Tableau, 3%

Time Study Statistician vs. similar jobs

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Time Study Statistician
Time Study Statistician vs Data Scientist

Updated January 8, 2025

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