Data Manager vs. Data Scientist: What Are the Differences?

Data managers and data scientists are two important roles in the field of data. Both positions require a strong understanding of data and analytics, but the focus and responsibilities of each role differ. If you’re interested in working with data, understanding the difference between these two positions can help you decide which one is right for you. In this article, we compare and contrast data managers and data scientists, and we provide tips for choosing the right role for you.

What is a Data Manager?

A Data Manager is responsible for the organization and maintenance of data within a company. Data Managers typically work with databases, spreadsheets and other data-related software to ensure that data is properly stored and organized. They may also be responsible for developing policies and procedures related to data management. Data Managers typically work in office settings, and they may work with a team of other data professionals or independently.

What is a Data Scientist?

Data Scientists analyze and interpret complex digital data to help companies make better decisions. They use their skills in statistics, programming and machine learning to clean, organize and model data. Data Scientists typically work in teams with other Data Scientists and software engineers to develop data-driven solutions. They also collaborate with business leaders to understand their needs and communicate their findings in a way that non-technical staff can understand. Data Scientists must be able to effectively communicate their findings, as their recommendations often have a significant impact on business decisions.

Data Manager vs. Data Scientist

Here are the main differences between a data manager and a data scientist.

Job Duties

Data managers and data scientists share some job duties, such as creating databases, designing systems and overseeing projects. However, data scientists have more specialized job duties that focus on using data to solve problems. For example, they may use artificial intelligence, machine learning and big data analysis to identify patterns in datasets and suggest solutions for issues facing an organization. In contrast, data managers typically perform managerial duties, such as ensuring the efficiency of teams, delegating tasks and monitoring budgets.

Job Requirements

Data managers typically need at least a bachelor’s degree in computer science, information systems or another related field. They might also pursue a master’s degree or earn certifications to help them attract the attention of employers more easily. Data scientists often have a similar educational path, as they also need to understand computer systems and how to use data effectively. However, data scientists might benefit from pursuing a higher degree, such as a Master of Science in Data Science, as it can give them an edge over other candidates when applying for jobs.

Work Environment

Data managers and data scientists often work in different environments. Data managers typically work in an office setting, where they can collaborate with other employees to create strategies for their company’s data needs. They may also travel to meet with clients or attend conferences related to data management.

Data scientists usually work in a laboratory environment, where they have access to the tools they need to perform their job duties. This means that they may spend most of their time working alone, but they still have opportunities to collaborate with others on projects.

Skills

Data managers and data scientists both work with data, but they have different roles in terms of what they do with that data. Data managers are responsible for organizing and storing data, while data scientists analyze data to find trends and insights.

Both data managers and data scientists need to be able to understand the business they are working in and the goals of their organization. This understanding is necessary to ensure that the data they are working with is relevant and can be used to achieve those goals.

Data managers need to have strong organizational skills to be able to effectively store and manage large amounts of data. They also need to be able to use database management software to manipulate and query data. Data scientists need to be able to use statistical analysis and data mining techniques to find patterns and trends in data. They also need to be able to use programming languages, such as R and Python, to perform their analyses.

Salary

Data managers can earn an average salary of $95,654 per year, while data scientists can earn an average salary of $118,822 per year. The average salary for both positions may vary depending on the size of the company, the location of the job and the level of experience you have prior to pursuing either position.