Business analytics, finance, computer engineering, and healthcare all require data scientists. Their salaries depend on their experience and role. Data scientists bring a wealth of knowledge and skills to companies. Because of this, they often receive lucrative packages. The data science career path offers a variety of career opportunities as the economy pivots on data. We will now take a look at the different career paths and job opportunities for data science:

1.      1. Data Analyst

The security of the organization's data lies with data analysts. In addition, they help stakeholders and owners interpret data and make predictions. They also maintain systems and databases. They organize data to make it relevant. They use this information to study past trends and forecast future outcomes. US data analysts earn an average salary of $65,903 per year. 

1.       2. Data Engineer

Engineers work in a variety of sectors. Their systems collect, convert, and interpret raw data. Providing relevant data to improve performance is a key responsibility of a data engineer. They also align data architecture with business needs using programming languages and tools. In the US, the average salary for data engineers is $120,581. 

1.     3.  Statistics

Statisticians collect relevant and valuable data for research purposes. Their role is essential in academics and research. To assist businesses in making critical decisions, they analyze, organize, and process data. They also identify past trends and predict the future. The process of collecting data is also crucial. The report also explains findings to stakeholders. US statisticians earn on average $98,155 per year.

1.     4. Database Manager

A database manager maintains an organization's database. Apart from fixing technical problems, they gather and report valuable information. Managing databases optimize data for future reference and streamlines hardware and software based on business requirements. It makes it easier to store, retrieve, and recover data. Data security managers supervise the team daily. An average database manager earns $61,539 annually.

 5. Infrastructure engineer

They assist organizations in installing, maintaining, and debugging servers, systems, and cloud computing modules. They create and manage highly secure Virtual Private Networks (VPNs) and specialize in server virtualization technologies. In the US, infrastructure engineers earn an average salary of $61,539 per year.

1.     6. Data architect

As a data architect, your primary responsibility is to create a system that is easy to use, reliable, and highly secure. A database architect manages and analyzes databases. They design the underlying infrastructure of a database. A framework describes how to plan, create, enable, manage, retrieve, and store all data. Data architects earn an average salary of $124,464 a year in the US.

   7. Machine learning Engineer 

Machine learning requires algorithms that utilize artificial intelligence (AI) to assess and predict. When engineers analyze and organize large amounts of data, they run tests and optimize machine learning models and algorithms. Programming and statistical skills are necessary for developing machine learning systems. Machine learning engineers earn an average salary of $141,440 per year in the US.

 8. Data Scientist

An executive data scientist manages a team of data scientists, designs projects, and develops analytical models. The role of a data scientist is to analyze and understand vast amounts of data. A company's product development procedure and project management are analyzed using statistics and market trends. In the field of data science jobs in USA    pay on average $135,923.

1.     9. Engineer in Data Warehouse

Engineers at data warehouses create ETL processes, create and analyze database cubes, and design tables. Data warehouse engineers support data warehouses daily and troubleshoot system errors. They also perform data accuracy and organization and are responsible for analytics and reporting. The average salary for a data warehouse engineer is $83,399.

Also Read -  What Is Big Data Analytics and How to Prevent Cyber Security Attacks

1.     10.  Developing Business Intelligence

BI developers connect data with people who need it. The insights you can gain from data can be invaluable if you lack SQL skills. They use business intelligence software to interpret and project data. They create easy-to-use tools and interfaces that simplify data interaction and research. Business analysts analyze data to identify areas of improvement, study trends, and identify threats. Thus, you can pursue a data science career in 2022.