As of December 01, 2024, the average annual pay of Data Scientist I in Joliet, IL is $80,791. While Salary.com is seeing that Data Scientist I salary in Joliet, IL can go up to $94,198 or down to $64,814, but most earn between $72,428 and $87,809. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Data Scientist I in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $85,751 | $7,146 | $1,649 | $41 |
| Average | $78,897 | $6,575 | $1,517 | $38 |
| 25th Percentile | $70,731 | $5,894 | $1,360 | $34 |
An entry-level Data Scientist I with under 1 year experience makes about $80,380. With less than 2 years of experience, a mid-level Data Scientist I makes around $80,380. After 2-4 years, the Data Scientist I pay rises to about $80,380. Those senior Data Scientist I with 5-8 years of experience earn roughly $80,380, and those Data Scientist I having 8 years or more experience are expected to earn about $80,380 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Scientist I | $80,380 |
| Intermediate Level Data Scientist I | $80,380 |
| Senior Level Data Scientist I | $80,380 |
| Specialist Level Data Scientist I | $80,380 |
| Expert Level Data Scientist I | $80,380 |
| Entry Level | 2% |
| Mid Level | 2% |
| Senior Level | 2% |
| Top Level | 2% |
| Experienced | 2% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
Economics: Economics is a social science that focuses on the production, distribution, and consumption of goods and services, and analyzes the choices that individuals, businesses, governments, and nations make to allocate resources.
| Skill | Salary | Demand |
|---|---|---|
|
Molecular Biology
|
$91,294 |
13%
|
|
Biochemistry
|
$89,678 |
11%
|
|
Inference
|
$87,254 |
8%
|
|
Chemistry
|
$87,254 |
8%
|
|
Predictive Analytics
|
$86,446 |
7%
|
|
Collaboration
|
$85,638 |
6%
|
