Data Scientists in Arkansas
Want to work as a Data Scientists in Arkansas? Here’s what the data says. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. Excludes “Statisticians” (15-2041), “Cartographers and Photogrammetrists” (17-1021), and “Health Information Technologists and Medical Registrars” (29-9021).
What do Data Scientists Make in Arkansas?
For a data scientists working in Arkansas, wages run about $104,320 per year (or about $50.15/hour).Pay can range from $57,830 at the 10th percentile to $164,120 at the 90th percentile.
| Wage Statistic | Annual | Hourly |
|---|---|---|
| 10th percentile | $57,830 | $27.80 |
| 25th percentile | $82,370 | $39.60 |
| Median (50th) | $104,320 | $50.15 |
| 75th percentile | $125,390 | $60.28 |
| 90th percentile | $164,120 | $78.90 |
The job concentration index in Arkansas compared to the national average — is 0.24, indicating fewer data scientists per worker than the national average.
National Wage Comparison
Nationally, data scientists earn a median of $106,295 per year ($51.10/hour), lower than the Arkansas median.
Employment Outlook
National employment for 469,589 data scientists nationwide. In Arkansas alone, around 470 people work in this role. That trails the typical state, which employs around 2,550 data scientists.
Top Arkansas Metros for Data Scientists
The metro areas below employ the most data scientists in Arkansas.
| Metro Area | Number Employed | Annual Median Salary |
|---|---|---|
| Fayetteville-Springdale-Rogers, AR | 220 | n/a |
| Little Rock-North Little Rock-Conway, AR | 150 | $102,850 |
Top States for Data Scientists Employment
View the states that employ the most data scientists work.
| State | Number Employed |
|---|---|
| California | 36,850 |
| Texas | 23,420 |
| New York | 20,070 |
| Pennsylvania | 10,430 |
| North Carolina | 10,140 |
| Massachusetts | 9,990 |
| Florida | 9,480 |
| Washington | 7,930 |
| Georgia | 7,730 |
| Illinois | 7,390 |
| Colorado | 6,750 |
| Michigan | 6,450 |
| Virginia | 6,200 |
| New Jersey | 5,860 |
| Ohio | 5,510 |
| Utah | 4,830 |
| Missouri | 4,350 |
| Arizona | 4,080 |
| Wisconsin | 3,640 |
| District of Columbia | 3,580 |
Highest-Paying States for Data Scientists
The highest-paying states for data scientists.
| State | Annual Median Salary |
|---|---|
| Washington | $158,760 |
| District of Columbia | $137,120 |
| California | $136,800 |
| Massachusetts | $132,250 |
| New Jersey | $130,370 |
| Virginia | $126,070 |
| New York | $125,400 |
| Maryland | $124,340 |
| Hawaii | $123,880 |
| Vermont | $120,670 |
Daily Tasks
Day-to-day, data scientists typically:
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Design surveys, opinion polls, or other instruments to collect data.
- Identify business problems or management objectives that can be addressed through data analysis.
- Identify relationships and trends or any factors that could affect the results of research.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Tools & Technology
Technologies frequently used: Hot technologies: Alteryx software, Amazon Elastic Compute Cloud EC2, Amazon Redshift, Amazon Web Services AWS software, Apache Airflow, Apache Cassandra, Apache Hadoop In-demand technologies: Amazon Web Services AWS software, Apache Hadoop, Apache Spark
What Major Will Prepare You For This Career?
Several college majors map to this occupation:
- Computer Science
- Computer Information Systems
- Computer Software Applications
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Related Careers
Careers similar to data scientists include:
- Management Analysts
- Market Research Analysts and Marketing Specialists
- Financial Quantitative Analysts
- Computer Systems Analysts
- Computer and Information Research Scientists
- Database Architects
Also Known As
Analytics Consultant, Applied Scientist, Data Analyst, Data Analytic Scientist, Data Analytics Manager, Data Analytics Scientist, Data Analytics Specialist, Data Architect, Data Consultant, Data Economist, Data Engineer, Data Management Scientist, Data Mining Analyst, Data Modeler, Data Quality Analyst.
References
- U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics — https://www.bls.gov/oes/
- O*NET Online — https://www.onetonline.org/
- BLS Employment Projections — https://www.bls.gov/emp/
- O*NET-SOC code: 15-2051.00
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