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Data manager vs data scientist

The differences between data managers and data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-8 years to become a data manager, becoming a data scientist takes usually requires 2-4 years. Additionally, a data manager has an average salary of $108,359, which is higher than the $106,104 average annual salary of a data scientist.

The top three skills for a data manager include data analysis, visualization and data quality. The most important skills for a data scientist are python, data science, and visualization.

Data manager vs data scientist overview

Data ManagerData Scientist
Yearly salary$108,359$106,104
Hourly rate$52.10$51.01
Growth rate16%16%
Number of jobs147,574106,973
Job satisfaction--
Most common degreeBachelor's Degree, 62%Bachelor's Degree, 51%
Average age4741
Years of experience84

What does a data manager do?

A data manager is responsible for monitoring the efficiency of the company's technology systems and network infrastructures. Data managers ensure the safety and security of the databases to avoid unauthorized access that may pose risks for business operations. They assist the technology team in developing data management protocols and smooth navigation of the network systems. A data manager must have excellent knowledge of the technology industry, as well as having a strong command on system codes and programming languages, to immediately identify inconsistencies, and perform troubleshooting to fix these discrepancies.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Data manager vs data scientist salary

Data managers and data scientists have different pay scales, as shown below.

Data ManagerData Scientist
Average salary$108,359$106,104
Salary rangeBetween $73,000 And $160,000Between $75,000 And $148,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaThe Citadel
Best paying industry-Start-up

Differences between data manager and data scientist education

There are a few differences between a data manager and a data scientist in terms of educational background:

Data ManagerData Scientist
Most common degreeBachelor's Degree, 62%Bachelor's Degree, 51%
Most common majorBusinessComputer Science
Most common collegeCarnegie Mellon UniversityColumbia University in the City of New York

Data manager vs data scientist demographics

Here are the differences between data managers' and data scientists' demographics:

Data ManagerData Scientist
Average age4741
Gender ratioMale, 48.0% Female, 52.0%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 6.6% Unknown, 5.2% Hispanic or Latino, 9.9% Asian, 12.7% White, 65.5% American Indian and Alaska Native, 0.2%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage11%9%

Differences between data manager and data scientist duties and responsibilities

Data manager example responsibilities.

  • Manage all Salesforce customer tech support inquiries.
  • Use of SalesForce and CRM for leads tracking.
  • Manage internal department & team initiatives including QA and documentation work.
  • Manage the profiling and cleansing of legacy data to new data structures.
  • Manage and lead scrum meetings for both reporting and commissioning development teams.
  • Manage CRO trials from selection, statement of work, through database lock.
    • Show more

Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
    • Show more

Data manager vs data scientist skills

Common data manager skills
  • Data Analysis, 7%
  • Visualization, 6%
  • Data Quality, 6%
  • Data Collection, 4%
  • Project Management, 4%
  • Patients, 4%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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Updated January 8, 2025

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