Data Science continues to be the dream role for many IT professionals. You can choose from many data science job roles as the jobs are driven by the tremendous amount of data we generate every second.
As long as we continue to generate the data, the demand for data professionals is only going to grow. Even if technology swipes some kind of job roles, it creates new ones requiring you to possess an all-new skill set.
Are we going to generate a lesser amount of data by any means?
A Big NO!!
A report by the US Bureau of Labor Statistics states that the data-related job roles are projected to grow by around 31% by the year 2030. This means that you will have too many career options for working in the world of data. Every small and big organization is looking for skilled and trained data professionals.
Likewise, many ed-tech companies are offering Data Science free courses to enable you to advance your skills in this domain. Data professionals are revolutionizing industries from government to businesses, from academia to healthcare, and almost every industry. This article will let you know about the different job roles you can pursue by entering the field of Data Science.
Top Job Roles in Data Science
- Data Engineer
Basically, a Data Engineer is involved in developing and testing scalable Big Data ecosystems for the organizations to enable data scientists to execute their algorithms on highly optimized and stable systems. As a Data Engineer, you will be required to update the systems with the latest versions of the technology so as to improve the efficiency of databases.
Other duties you need to fulfill include:
- Design and manage data management systems
- Make primary and secondary research
- Collaborate with teams to define organizational goals
- Data collection and acquisition management
- Present reports to stakeholders on the basis of analytics
- Data Scientist
A data scientist is supposed to understand the business challenges and come up with the best solutions by analyzing and processing the data.
Some key responsibilities of a data scientist include:
- Identify different sources for data collection according to the business requirements
- Process, clean, and merge the data
- Automate the processes of data collection and management
- Analyze massive amounts of data to identify trends and come up with an attractive report as well as feasible recommendations
- Use data science tools and techniques in order to improve business processes
- Collaborate with engineering, business, and product teams
You need to attain expertise in the coding languages SQL, Matlab, Python, R, and other contemporary technologies to become a Data Scientist.
- Machine Learning Engineer
A job role that is in demand everywhere is now one of the most desired jobs for many IT professionals. Since technology is consistently revolutionizing the ways businesses function, the demand for Machine Learning Engineers is also increasing. Also, the field of data science relies highly on machine learning algorithms, you can enter this domain with a certification in Data Science.
Some of the key responsibilities of a Machine Learning Engineer include:
- Design and build machine learning systems
- Study different machine learning algorithms so that you can choose the one that suits best for the related business problem
- Test machine learning algorithms with different data sets
- Build products or applications on the basis of the requirements of clients
- To better understand the business data, explore and visualize the data properly
- Use the existing machine learning libraries and frameworks to build robust applications
- Train and retrain machine learning systems to improve the efficiency of the systems
You should possess an in-depth knowledge of technologies that include Python, JavaScript, and Java and a strong understanding of mathematical and statistical concepts to excel in your career in Machine Learning.
- Data Analyst
A Data Analyst works with data to mine, process, analyze, and visualize the data. A data analyst has to process a tremendous amount of data. Also, you have to query the database frequently.
Some important responsibilities of a Data Analyst include:
- Look for primary and secondary data sources to extract the data using automated tools
- Develop and also monitor databases
- Perform data analysis and come up with reports to be presented to concerned stakeholders and also suggest solutions
- Analyze business data to forecast trends that impact the business
- To improve data collection and quality processes, collaborate with team members
Some of the most in-demand skills of a Data Analyst are SAS, R, Python, and SQL.
- Business Analyst
A business analyst typically knows the way data-oriented technologies work and also the ways massive data sets can be processed so that the data-driven solutions result in improved efficiency and productivity of the business. A Business Analyst is regarded as ‘an agent of change ’ and is involved in introducing and managing changes to an organization.
Some of the key responsibilities of a Data Analyst include:
- Understand the way a business functions
- Analyze pricing models for different products and services
- Strive to improve business processes
- Analyze, design, and execute new systems and technologies
- Conduct in-depth analysis of business processes
A Business analyst bridges the gap between the management and IT staff. So, you are expected to possess an in-depth understanding of business intelligence and business finances as well. In addition, you should know well about data visualization and data modeling techniques.
- Database Administrator
A database administrator is accountable for the all-around functioning of the databases of an organization. You typically need to monitor and optimize the performance of the database such that high traffic and consistent access don’t affect the working of the database.
Some key responsibilities of a database administrator include:
- Store and manage data in the database
- Prepare design and development of the database
- Design efficient security measures for the database
- Create reports, documentation, and also operating manuals
- Work in collaboration with project managers, programmers, and other team members
To become a database administrator, you need to understand the concepts of database backup and recovery, data modeling, data security, and also database design.
- Data Architect
A data architect is responsible for designing the architecture of complex data frameworks and also building and managing these databases. You are also tasked with developing strategies for enterprise data models, creating an action plan, and creating progress reports.
Some key responsibilities of a Data Architect include:
- Develop and maintain strategies aligned with business requirements
- Recognize data sources according to the strategy
- Communicate with cross-functional teams for the proper functioning of databases
- Maintain efficiency and security of database systems
- Keep auditing database systems and take improvement measures whenever required
- Plan and manage database architecture
Data warehousing, data modeling, and the processes of extract transform and load (ETL) are some concepts you need to master to become a Data Architect.
Conclusion
Apart from these job roles, you can also choose to be a statistician, database administrator, Business Intelligence Analyst, Data and Analytics Manager, and many other job roles with skills in Data Science.
To attain the skills of a Data Scientist, you can enroll yourself in an online training course or install a learning app and acquire certifications related to the domain you wish to enter.
Enroll Yourself Now!!
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