How much does a Data Science Manager make in the United States? The average Data Science Manager salary in the United States is $157,413 as of February 26, 2024, but the range typically falls between $141,702 and $173,725. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, 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 Manager Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Data Science Manager Salary $127,398 US February 26, 2024
25th Percentile Data Science Manager Salary $141,702 US February 26, 2024
50th Percentile Data Science Manager Salary $157,413 US February 26, 2024
75th Percentile Data Science Manager Salary $173,725 US February 26, 2024
90th Percentile Data Science Manager Salary $188,576 US February 26, 2024
25% $141,702 10% $127,398 90% $188,576 75% $173,725 $157,413 50%(Median) Didn’t find job title? Click
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Check out Data Science Manager jobs in Ashburn, Virginia

Data Scientist 1

Elder Research Inc - Arlington, VA

Data Scientist 2465

Quevera LLC - Fairfax, VA

Business Analytics / Data Scientist (2024-0076)

Acclaim Technical Services - Herndon, VA

Data Scientist (ETL) - TS/SCI w/Poly

General Dynamics Information Technology - McLean, VA

What skills does a Data Science Manager need?

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.

1.

Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.

2.

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.

3.

Data Mining: Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine-learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.

Analysis 0.7%
Big Data 0.24%
Data Mining 0.17%
Others 98.89%

Job Description for Data Science Manager

Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. 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. (Copyright 2024 Salary.com)... View full job description

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Career Path for Data Science Manager

A career path is a sequence of jobs that leads to your short- and long-term career goals. Some follow a linear career path within one field, while others change fields periodically to achieve career or personal goals.

For Data Science Manager, the upper level is Data Science Director and then progresses to Top Data Scientist.

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Data Science Manager salary varies from city to city. Compared with national average salary of Data Science Manager, the highest Data Science Manager salary is in San Francisco, CA, where the Data Science Manager salary is 25.0% above. The lowest Data Science Manager salary is in Miami, FL, where the Data Science Manager salary is 2.9% lower than national average salary.

City, State Compared to national average
City, State San Francisco, CA Compared to national average
+ 25.0%
City, State Washington, DC Compared to national average
+ 11.3%
City, State Miami, FL Compared to national average
-2.9%
City, State Chicago, IL Compared to national average
+ 5.5%
City, State Boston, MA Compared to national average
+ 12.7%
City, State New York, NY Compared to national average
+ 17.5%
City, State Dallas, TX Compared to national average
-0.7%

Take just three simple steps below to generate your own personalized salary report

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Understand the total compensation opportunity for a Data Science Manager, base salary plus other pay elements

Average Base Salary

Core compensation

 
 
 
141702
173725
157413

Average Total Cash Compensation

Includes base and annual incentives

 
 
 
155696
199626
176182
These charts show the average base salary (core compensation), as well as the average total cash compensation for the job of Data Science Manager in the United States. The base salary for Data Science Manager ranges from $141,702 to $173,725 with the average base salary of $157,413. The total cash compensation, which includes base, and annual incentives, can vary anywhere from $155,696 to $199,626 with the average total cash compensation of $176,182.
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For a real-time salary target, tell us more about your role in the four categories below.

141702
173725

 

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Skills associated with Data Science Manager: Business Intelligence, ETL (Extract, Transform, Load), Predictive Analytics and Modeling, Data Visualization ...More

Recently searched related titles: Data Scientist Engineer, Data Scientist Consultant, Data Scientist Manager

Jobs with a similar salary range to Data Science Manager : Product Manager Data Science, Senior Manager Data Science, Senior Manager of Data Science, Data Science Consultant

Salary estimation for Data Science Manager at companies like : Boulder Campus Staff Council, Somerset Bank, Trinity Valley Community College - Palestine

Data Science Manager Salary in United States
Data Science Manager Salary Graph, Regional Distribution and Summary