Big data is without any doubt transforming businesses and the driving drastic growth throughout the global economy. According to the U.S Bureau of Labor and Statistics, the data-related occupations have been anticipated to grow by 12% by 2028, thereby creating 546,200 new jobs. This is going to be a huge opportunity for all those who are interested in the data science jobs.
Top companies are always in need of qualified professionals for filling emerging data science roles. And that is why we present to you the 10 best paying data science jobs and desired skills. But before we dive into the details of the 10 big data careers, we like to talk about the desired skills required in this field.
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- IBM via Coursera
- 10 hours of effort required
- 391,964+ already enrolled!
- ★★★★★ (42,835 Ratings)
Desired skills Required for Data Science Jobs
We believe having these types of skills are very much useful in the field of data science. Also, companies tend to prefer those individuals who possess some of these skills.
- Fundamentals of Data Science
- Statistics
- Programming knowledge
- Data Manipulation and Analysis
- Data Visualization
- Machine Learning
- Deep Learning
- Big Data
- Software Engineering
- Model Deployment
- Communication Skills
- Storytelling Skills
- Structured Thinking
- Curiosity
Best Paying data Science Jobs
Below are the details of the 10 best paying data science jobs.
1. Big Data Engineer
Big data engineers are considered to be similar to data analysts in a way that they have to turn huge piles of data in a form that is useful for organizations in making smarter business decisions. With that, they have to retrieve, interpret, analyze, and then report of business's data as well.
Key Responsibilities
Following are the key responsibilities of a big data engineer.
- They have to create and maintain the company's software.
- Then they are responsible for hardware architect.
- Similarly, they have to take care of the systems and processes users need to work with that data.
Average Salary
- The average annual salary that a big data engineer can make ranges between $130,000 and $222,000.
2. Data Architect
Data architects are the ones who have to deal with designing the structure of complex data frameworks. It also includes building and maintaining databases. Since data architects have to structure complex data, they need to work meticulously. You might also be interested in data science academy – free online courses with certificates.
Key Responsibilities
Below are the key responsibilities of a data architect.
- They are required to develop strategies for each subject area of the enterprise data model.
- Then they need to communicate plans with the team.
- Similarly, a data architect is required to communicate the ongoing status and issues to the company's executives.
Average Salary
- As a data architect, you can easily expect to earn between $119,750 and $193,500.
3. Data Warehouse Manager
Data warehouse managers are known to be storing and analyzing data in facilities. They have to use performance and usage metrics for a variety of purpose. It includes evaluating data, analyzing data load, and monitoring job usage.
Key Responsibilities
As a data warehouse manager, you have to perform the following tasks.
- You need to identify and mitigate potential risks to data storage and transfer.
- Then you have to analyze data to perform consistency and referential integrity checks.
- Similarly, you need to create indexes, business views, and partition views.
Average Salary
- As a data warehouse manager, you are expected to make an average salary ranging $80,000 and $160,250.
4. Database Manager
Database managers have to work closely with database developers and that too in the most professional manner. With that, they are expected to provide guidance and training to lower-level staff. A database manager has to be very proactive and determined as he is responsible for training the entire low-level staff. You can also checkout data science A-Z
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Key Responsibilities
Below are the key responsibilities of a database manager.
- They are supposed to identify the problems that may occur in databases.
- Then they need to take corrective action to remedy all the occur issues.
- Similarly, they have to assist with the design and physical implementation of storage hardware and maintenance.
Average Salary
- A database manager's annual salary ranges between $111,250 and $186,500.
5. Business Intelligence Analyst
Business intelligence analysts are known to be the ones who have to turn companies' data into a form that can be used by executives to make better business decisions for the company. Business intelligence analysts need to have a strong background in analytical and reporting tools.
Key Responsibilities
A business intelligence analyst has to perform the following tasks.
- They often have to respond to management' requests for specific information.
- With that, they are also expected to scrutinize data independently for finding different patterns and trends.
Average Salary
- A business intelligence analyst's average salary ranges between $87,500 and $185,500.
6. Data Scientist
A data scientist role is considered to be offshoot of several traditional technical roles. It includes mathematician, scientist, statistician, and a computer professional. Basically a data scientist is the one who has to collect, analyze, and interpret a large amount of data regularly. Since the data is quite valuable in making decisions for the company, a data scientist must be very meticulous in handling data.
Key Responsibilities
The title of a data scientist comes with the following responsibilities.
- He needs to design and construct new processes for modeling and production and data mining as well.
- Then he needs to conduct data studies and product experiments.
- Similarly, a data scientist is tasked with developing prototypes, algorithms, custom analysis, and predictive models.
Average Salary
- A data scientist is expected to make an average salary range between $205,750 and $180,250.
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- John Hopkins University via Coursera
- 7 hours of effort required
- 168,399+ already enrolled!
- ★★★★★ (7,310 Ratings)
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- IBM via Coursera
- 10 hours of effort required
- 128,654+ already enrolled!
- ★★★★★ (15,441 Ratings)
7. Data Modeler
A data modeler has to turn large volumes of data into insights like micro and macro trends. These are then gathered into reports and businesses. Data modelers are required to have skills in both information science and statistical analysis. With that, they should posses proficient programming skills.
Key Responsibilities
A data modeler has the following responsibilities on shoulder.
- He has to build an organizational structure for a company's data.
- Then his primary responsibility is database design.
- Similarly, he has to follow directives from business leaders.
- His focus can be reducing data redundancy and improving data migration.
- In addition, he also has to facilitate data retrieval.
Average Salary
- The average salary range of a data modeler is between $80,750 and $170,000.
8. Database Developer
Database developers design, program, develop, and then implement different database systems. They have to work very closely with other members of the development team. Those who have prior experience with database development, unit testing, and data analysis are preferred as compared to those who don't have any experience in this field.
Key Responsibilities
Following are the key responsibilities of a database developer.
- He is responsible for analyzing current database processes with the intent to modernize, streamline, and eliminate inefficient coding.
- They are often charged with monitoring database performance.
- Similarly, they have to develop new databases and troubleshoot all the issues as they arise.
Average Salary
- The average salary range of a database developer is $101,250 and $172,750 per year.
9. Database Administrator
A database administrator is the one who uses specialized software for storing and organizing data. They have a variety of tasks to do relevant to data. Database administrators mostly have prior experience working on database administration teams.
Key Responsibilities
Below are the key responsibilities of a database administrator.
- They are responsible for monitoring and optimizing database performance in order to avoid damaging effects which are caused by constant access and high traffic.
- Then they have to coordinate with the Information Technology security professional for ensuring data security.
- Similarly, they have to troubleshoot and backup data.
- Their role also includes capacity, planning, installation, configuration, performance monitoring, and more.
Average Salary
- Database administrators are expected to make an average annual salary of $79,250 to $160,500.
10. Data Analyst
Data analysts have to work very proficiently and closely with large volumes of data. They are supposed to turn them into useful insights which businesses can leverage to make better decisions. They are to work across a variety of industries-from healthcare to finance to retail and technology.
Key Responsibilities
Data analysts have the following tasks to perform.
- They work very hard to improve their own systems that can help them make future insights easier.
- Then they have to develop methods that can analyze large data sets which can be easily reproduced and scaled in future.
Average Salary
- If you want to become a data analyst then the average salary which you can expect to make lies between $83,750 and $142,500.
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- Yonsei University via Coursera
- 12 hours of effort required
- 15,464+ already enrolled!
- ★★★★☆ (361 Reviews)
Final Thoughts
After reading the above details of the 10 best paying data science jobs and desired skills you now have a clear picture about the best job titles, their responsibilities, and how much they can make at average. So, read the details of the 10 best paying data science jobs and desired skills now and never stop learning.
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