The salary of a Data Scientist I 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 I in the United States is $79,296. Salary.com reports that pay typically ranges from $71,088 to $86,182, with most professionals earning between $63,615 and $92,451.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $86,182 | $7,182 | $1,657 | $41 |
| Average | $79,296 | $6,608 | $1,525 | $38 |
| 25th Percentile | $71,088 | $5,924 | $1,367 | $34 |
An entry-level Data Scientist I with less than 1 year of experience earns about $78,496. With 1-2 years of experience, the average salary increases to $78,496. For 2-4 years of experience, the pay typically rises to $78,496. Senior-level professionals with 5-8 years of experience earn around $78,496, and those with over 8 years of experience can expect an average of $78,496.
| Levels | Salary |
|---|---|
| Entry Level Data Scientist I | $78,496 |
| Intermediate Level Data Scientist I | $78,496 |
| Senior Level Data Scientist I | $78,496 |
| Specialist Level Data Scientist I | $78,496 |
| Expert Level Data Scientist I | $78,496 |
| 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 I compensation over the past six years. For example, the median salary increased from $67,571 in 2023 to approximately $67,276 in 2024. (For a detailed analysis of Data Scientist I 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 I information for you to search for. Click on search button below to see Data Scientist I job openings or enter a new job title here.
Here are companies hiring for Data Scientist I and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $79,296 | 68.5% | ||
| Bonus | $2,299 | 2.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $6,242 | 5.4% | ||
| 401K/403B | $3,427 | 3.0% | ||
| Disability | $1,632 | 1.4% | ||
| Healthcare | $8,352 | 7.2% | ||
| Pension | $4,406 | 3.8% | ||
| Time Off | $10,043 | 8.7% | ||
| Total Compensation | $115,697 | 100% | ||
The average annual salary of Data Scientist I is $79,296. In case you are finding an easy salary calculator, the average hourly pay of Data Scientist I is $38; the average weekly pay of Data Scientist I is $1,525; the average monthly pay of Data Scientist I is $6,608.
A Data Scientist I'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 I earns the most in San Jose, CA, where the annual salary of a Data Scientist I is $99,517.
The highest pay for Data Scientist I is $92,451.
The lowest pay for Data Scientist I is $63,615.
Data Scientist I 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 I 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 I designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist I work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist I typically requires 0-2 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.
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.
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We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
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