Data capture specialist vs data scientist

The differences between data capture specialists and data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data capture specialist, becoming a data scientist takes usually requires 2-4 years. Additionally, a data scientist has an average salary of $106,104, which is higher than the $42,674 average annual salary of a data capture specialist.

The top three skills for a data capture specialist include CPT, epic and data capture. The most important skills for a data scientist are python, data science, and visualization.

Data capture specialist vs data scientist overview

	Data Capture Specialist	Data Scientist
Yearly salary	$42,674	$106,104
Hourly rate	$20.52	$51.01
Growth rate	10%	16%
Number of jobs	89,057	106,973
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 51%
Average age	44	41
Years of experience	2	4

Data capture specialist vs data scientist salary

Data capture specialists and data scientists have different pay scales, as shown below.

	Data Capture Specialist	Data Scientist
Average salary	$42,674	$106,104
Salary range	Between $26,000 And $69,000	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 data capture specialist and data scientist education

There are a few differences between a data capture specialist and a data scientist in terms of educational background:

	Data Capture Specialist	Data Scientist
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 51%
Most common major	Business	Computer Science
Most common college	-	Columbia University in the City of New York

Data capture specialist vs data scientist demographics

Here are the differences between data capture specialists' and data scientists' demographics:

	Data Capture Specialist	Data Scientist
Average age	44	41
Gender ratio	Male, 25.4% Female, 74.6%	Male, 79.6% Female, 20.4%
Race ratio	Black or African American, 10.5% Unknown, 4.4% Hispanic or Latino, 18.8% Asian, 9.9% White, 55.8% American Indian and Alaska Native, 0.6%	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	5%	9%

Differences between data capture specialist and data scientist duties and responsibilities

Data capture specialist example responsibilities.

Audit nurse and system charges in order to promote ICD-9 and CPT compliant hospital coding.
Audit chart notes for documentation to support coding by utilizing EMR.
Identify infusion, injection and transfusion charges per existing CPT hierarchy guidelines.
Charge entry and ensuring correctness of coding in the CDM and clinical documentation, and providing ongoing education to charging departments.
Collect feature and attribute data in the MicroStation GIS relational database environment.
Contact doctor offices, insurance companies and patients to request information relate to clarifications on prescriptions and insurance information.

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.

Data capture specialist vs data scientist skills

Common data capture specialist skills

CPT, 20%
Epic, 17%
Data Capture, 12%
EMR, 7%
ICD-9, 5%
Data Entry Functions, 5%

Common data scientist skills

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

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Data Capture Specialist vs Data Scientist

Updated January 8, 2025

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