How much does a Data Science Analyst make in the United States?
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The average Data Science Analyst salary in the United States is $123,308 as of July 01, 2026. The range for our most popular Data Science Analyst positions (listed below) typically falls between $110,696 and $135,921. Keep in mind that salary ranges can vary widely depending on many important factors, including position, education, certifications, additional skills, and the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target.
Data Science Analyst's Annual Base Salary
| Job Title | Salary | Hourly Rate | Location | Date Updated |
| Analyst, Data Science | $119,446 | $57.43 | United States | July 01, 2026 |
| Analyst, Data Science and Product | $174,734 | $84.01 | United States | July 01, 2026 |
| SVP of Data Science | $313,682 | $150.81 | United States | July 01, 2026 |
| VP of Data Science | $277,421 | $133.38 | United States | July 01, 2026 |
| Data Science Director | $232,467 | $111.76 | United States | July 01, 2026 |
| Data Science Supervisor | $156,278 | $75.13 | United States | July 01, 2026 |
| Data Science Senior Manager | $201,533 | $96.89 | United States | July 01, 2026 |
| Data Science Manager | $169,476 | $81.48 | United States | July 01, 2026 |
| Data Science Architect | $179,719 | $86.40 | United States | July 01, 2026 |
| Data Science Consultant | $148,553 | $71.42 | United States | July 01, 2026 |
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SVP of Data Science establishes, plans, and administers the overall policies and goals of the data science function to support the organization's objectives. Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Being an SVP of Data Science allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering. Additionally, SVP of Data Science typically requires a master's degree in computer science, mathematics, engineering. Typically reports to top management. The SVP of Data Science manages a business unit, division, or corporate function with major organizational impact. Establishes/implements overall direction and strategic initiatives for the given major function or line of business. To be an SVP of Data Science typically requires 10+ years of progressive leadership experience. Has extensive knowledge of the overall departmental function. View SVP of Data Science SalaryAlternate Job Titles:SVP of Big Data Analytics
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VP of Data Science establishes, plans, and administers the overall policies and goals of the data science function to support the organization's objectives. Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Being a VP of Data Science allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering. Additionally, VP of Data Science typically requires a master's degree in computer science, mathematics, engineering. Typically reports to senior management. The VP of Data Science manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. To be a VP of Data Science typically requires 8+ years of managerial experience. Comprehensive knowledge of the overall departmental function. View VP of Data Science SalaryAlternate Job Titles:VP of Big Data AnalyticsCategories : Executive and Management , IT - All , IT - Executive, Consulting , Science and Research
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Data Science Director directs the identification and utilization of large data sets to identify trends, patterns, and key business insights. Develops data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Science Director oversees and aligns data science initiatives with business objectives and ensures data insights are integrated into business activities and operating strategies. Maintains collaboration with senior stakeholders to understand problems, needs, and identify new opportunities to leverage data. Additionally, Data Science Director remains up-to-date on trends and developments in AI, machine learning, and data engineering. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to senior management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. View Data Science Director SalaryAlternate Job Titles:Big Data Analytics Director
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Data Science Supervisor collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Leads and delegates data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Science Supervisor implements policies and procedures to ensure data mining activities are compliant and ethical. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Additionally, Data Science Supervisor maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. The Data Science Supervisor supervises a group of primarily para-professional level staffs. May also be a level above a supervisor within high volume administrative/production environments. Makes day-to-day decisions within or for a group/small department. Has some authority for personnel actions. To be a Data Science Supervisor typically requires 3-5 years experience in the related area as an individual contributor. Thorough knowledge of functional area and department processes. View Data Science Supervisor SalaryAlternate Job Titles:Big Data Analytics Supervisor
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Data Science Senior Manager manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights. Oversees and promotes data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Science Senior Manager coordinates the design and implementation of big data solutions for an organization, collaborating and liaising with stakeholders to ensure needs are captured. Provides technical guidance to evaluate data models, review code, and source data pipelines. Additionally, Data Science Senior Manager prioritizes tasks and allocates resources effectively to ensure timely delivery of projects. Builds team capability with mentoring, coaching, and professional development. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a director. The Data Science Senior Manager typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. To be a Data Science Senior Manager typically requires 3+ years of managerial experience. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. View Data Science Senior Manager SalaryAlternate Job Titles:Big Data Analytics Senior Manager
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Data Science Manager manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights. Oversees and promotes data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Science Manager coordinates the design and implementation of big data solutions for an organization, collaborating and liaising with stakeholders to ensure needs are captured. Provides technical guidance to evaluate data models, review code, and source data pipelines. Additionally, Data Science Manager prioritizes tasks and allocates resources effectively to ensure timely delivery of projects. Builds team capability with mentoring, coaching, and professional development. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a director. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1-3 years supervisory experience may be required. Extensive knowledge of the function and department processes. View Data Science Manager SalaryAlternate Job Titles:Big Data Analytics Manager
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A Data Science Architect is responsible for designing and implementing data-driven solutions that enhance business decision-making. This role involves developing data models, creating data pipelines, and ensuring the integration of various data sources. A strong understanding of machine learning algorithms, statistical analysis, and data visualization techniques is essential. Collaboration with cross-functional teams, including data engineers and business analysts, is crucial to align data strategies with organizational goals. The salary for a Data Science Architect typically ranges from $120,000 to $180,000 annually, depending on experience, location, and the complexity of projects undertaken. Additional benefits may include bonuses, stock options, and professional development opportunities. View Data Science Architect Salary