The salary of a Data Scientist III in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of February 01, 2025, the average annual salary for a Data Scientist III in the United States is $121,968. Salary.com reports that pay typically ranges from $110,118 to $135,245, with most professionals earning between $99,329 and $147,333.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $135,245 | $11,270 | $2,601 | $65 |
| Average | $121,968 | $10,164 | $2,346 | $59 |
| 25th Percentile | $110,118 | $9,176 | $2,118 | $53 |
An entry-level Data Scientist III with less than 1 year of experience earns about $120,738. With 1-2 years of experience, the average salary increases to $120,738. For 2-4 years of experience, the pay typically rises to $120,738. Senior-level professionals with 5-8 years of experience earn around $120,738, and those with over 8 years of experience can expect an average of $120,738.
| Levels | Salary |
|---|---|
| Entry Level Data Scientist III | $120,738 |
| Intermediate Level Data Scientist III | $120,738 |
| Senior Level Data Scientist III | $120,738 |
| Specialist Level Data Scientist III | $120,738 |
| Expert Level Data Scientist III | $120,738 |
| Entry Level | 1% |
| Mid Level | 1% |
| Senior Level | 1% |
| Top Level | 1% |
| Experienced | 1% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of February 01, 2025, our research reveals a significant shift in Data Scientist III compensation over the past six years. For example, the median salary increased from $99,190 in 2023 to approximately $98,974 in 2024. (For a detailed analysis of Data Scientist III salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Data Scientist III information for you to search for. Click on search button below to see Data Scientist III job openings or enter a new job title here.
Here are companies hiring for Data Scientist III and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $121,968 | 67.8% | ||
| Bonus | $8,353 | 4.6% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $9,970 | 5.5% | ||
| 401K/403B | $5,473 | 3.0% | ||
| Disability | $2,606 | 1.4% | ||
| Healthcare | $8,352 | 4.6% | ||
| Pension | $7,037 | 3.9% | ||
| Time Off | $16,040 | 8.9% | ||
| Total Compensation | $179,799 | 100% | ||
The average annual salary of Data Scientist III is $121,968. In case you are finding an easy salary calculator, the average hourly pay of Data Scientist III is $59; the average weekly pay of Data Scientist III is $2,346; the average monthly pay of Data Scientist III is $10,164.
A Data Scientist III's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, a Data Scientist III earns the most in San Jose, CA, where the annual salary of a Data Scientist III is $153,070.
The highest pay for Data Scientist III is $147,333.
The lowest pay for Data Scientist III is $99,329.
Data Scientist III identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist III interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist III designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist III work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. To be a Data Scientist III typically requires 4 -7 years of related experience.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. 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.
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
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