Data miner vs work study student

The differences between data miners and work study students can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data miner, becoming a work study student takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $24,582 average annual salary of a work study student.

The top three skills for a data miner include python, R and ETL. The most important skills for a work study student are work-study, customer service, and veterans.

Data miner vs work study student overview

	Data Miner	Work Study Student
Yearly salary	$80,042	$24,582
Hourly rate	$38.48	$11.82
Growth rate	19%	-5%
Number of jobs	68,035	14,836
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 47%
Average age	44	47
Years of experience	4	2

Data miner vs work study student salary

Data miners and work study students have different pay scales, as shown below.

	Data Miner	Work Study Student
Average salary	$80,042	$24,582
Salary range	Between $54,000 And $118,000	Between $16,000 And $36,000
Highest paying City	San Mateo, CA	Denver, CO
Highest paying state	California	Colorado
Best paying company	Oracle	University of California
Best paying industry	Real Estate	Education

Differences between data miner and work study student education

There are a few differences between a data miner and a work study student in terms of educational background:

	Data Miner	Work Study Student
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 47%
Most common major	Business	Business
Most common college	Stanford University	SUNY at Binghamton

Data miner vs work study student demographics

Here are the differences between data miners' and work study students' demographics:

	Data Miner	Work Study Student
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 33.4% Female, 66.6%
Race ratio	Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%	Black or African American, 11.3% Unknown, 4.6% Hispanic or Latino, 17.6% Asian, 8.2% White, 57.2% American Indian and Alaska Native, 1.1%
LGBT Percentage	11%	6%

Differences between data miner and work study student duties and responsibilities

Data miner example responsibilities.

Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
Develop Matlab code for exploring the dichotomy in differential performance of Satscan using exact locations and census tracts.
Train a logistic regression classifier to differentiate the positive and negative articles.
Develop single and multiple regression models to identify relationships between stock volatility and financial ratios
Develop a hierarchical text classification model in python to classify websites into multilevel/ multiple taxonomy.
Develop discriminative features to boost the classification accuracy, using the domain specific language written in Java.

Work study student example responsibilities.

Follow all HIPPA policies and procedures.
Retouch images for the workshop posters using photoshop.
Help with photography, Photoshop and video production.
Post media about opportunities in mathematics (e.g.
Maintain a high GPA and academic performance while working.
Make phone calls regarding FAFSA deadlines and career services.

Data miner vs work study student skills

Common data miner skills

Python, 31%
R, 15%
ETL, 8%
Data Quality, 7%
HTML, 7%
SAS, 7%

Common work study student skills

Work-Study, 38%
Customer Service, 9%
Veterans, 7%
Front Desk, 7%
Computer Lab, 4%
PowerPoint, 4%