Salary Data

Manager Data Science Salary

How much does a Manager Data Science make in the United States?
Get the insights on the salary, benefits, education, and job description.
Salary Data for Manager Data Science

$137,253 (USD)/yr

$66 (USD)/hr

$14,549 (USD)/yr

$135,357 (USD)/yr

$65 (USD)/hr

$14,549 (USD)/yr

Job Description
Manages and grows a team of Data Scientists who build foundational data products and solve a variety of mathematical problems. Heads data science projects from inception and planning to development, implementation, and evaluation. Develops specifications and requirements to extract data from current and third-party systems, as well as for interfacing client systems with analytic models. Partakes in the design, development, and implementation of data-driven solutions using advanced statistical methods to address business problems. Analyzes data, generates and tests working hypotheses, prepares and analyzes historical data and identifies patterns to formulate a solution.
The average manager data science salary in United States is $137,253 or an equivalent hourly rate of $66. In addition, they earn an average bonus of $14,549. Salary estimates based on salary survey data collected directly from employers and anonymous employees in United States.
Compensation Data Based on Experience

$94,390 (USD)

$171,327 (USD)

Education data not available for this job

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Salary Potential

$159,114 (USD)

16 %

Based on our compensation data, the estimated salary potential for Manager Data Science will increase 16 % over 5 years.

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About The Data
The above data is a sample of data available in ERI's Global Salary Calculator. The Global Salary Calculator provides compensation data for over 45,000 positions in 8,000+ cities in 69 countries. If you need to calculate competitive levels of salaries, incentives and total compensation by industry, organization size and salary planning date, please view a demonstration version of ERI's Salary Assessor, which is used by the majority of the Fortune 500 for salary survey data and compensation planning.

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