Data miner vs internship

The differences between data miners and interns 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 an internship takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $35,254 average annual salary of an internship.

The top three skills for a data miner include python, R and ETL. The most important skills for an internship are powerpoint, financial statements, and C++.

Data miner vs internship overview

	Data Miner	Internship
Yearly salary	$80,042	$35,254
Hourly rate	$38.48	$16.95
Growth rate	19%	-5%
Number of jobs	68,035	51,064
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 68%
Average age	44	47
Years of experience	4	2

Data miner vs internship salary

Data miners and interns have different pay scales, as shown below.

	Data Miner	Internship
Average salary	$80,042	$35,254
Salary range	Between $54,000 And $118,000	Between $24,000 And $49,000
Highest paying City	San Mateo, CA	San Francisco, CA
Highest paying state	California	Alaska
Best paying company	Oracle	Qorvo
Best paying industry	Real Estate	Telecommunication

Differences between data miner and internship education

There are a few differences between a data miner and an internship in terms of educational background:

	Data Miner	Internship
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 68%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs internship demographics

Here are the differences between data miners' and interns' demographics:

	Data Miner	Internship
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 42.0% Female, 58.0%
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, 9.8% Unknown, 4.7% Hispanic or Latino, 18.1% Asian, 10.3% White, 56.1% American Indian and Alaska Native, 1.0%
LGBT Percentage	11%	6%

Differences between data miner and internship 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.

Internship example responsibilities.

Lead enrollment process efficiently through securing proper registration forms, official transcripts, immunization records, and IEP documentation as needed.
Manage all company financial transactions through QuickBooks.
Design PHP application to automate schedule updating process.
Manage a web-base graphical interface that utilize a SQL database to better track fabrication lab operations.
Organize online recipe content through the blog, design flyers for it and spread the contest word through twitter and blog.
Develop sponsored post strategy for LinkedIn and Facebook.

Data miner vs internship skills

Common data miner skills

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

Common internship skills

PowerPoint, 10%
Financial Statements, 6%
C++, 5%
Mental Health, 5%
Data Analysis, 4%
Facebook, 4%