Data Science 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. Stay informed about the latest trends in data science employment by exploring our in-depth analysis, helping you stay ahead in this rapidly evolving industry.

Desired skills Required for Data Science Jobs
Best Paying data Science Jobs
Final Thoughts

Job Title	Minimum Salary	Average Salary	Maximum Salary
Big Data Engineer	$75,000	$104,000	$145,000
Data Architect	$83,000	$119,500	$169,000
Data warehouse Manager	$34,250	$53,000	$84,000
Database Manager	$45,000	$76,000	$125,000
Business Intelligence Analyst	$61,000	$86,000	$120,000
Data Scientist	$82,000	$117,000	$167,000
Data Modeler	$69,000	$94,000	$129,000
Database Developer	$67,000	$92,000	$125,000
Database Administrator	$60,000	$84,000	$117,000
Data Analyst	$46,000	$70,000	$106,000

What is Data Science?

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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.

Maths & Statistics
- Statistical Modeling
- Clustering
- Exploratory Analysis
- Machine Learning
- Regression Analysis

Visualizing and Communication
- Storytelling
- Keen to work with Data
- Knowledge of BI Tools
- Data Insights & Decisions

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Programming & Database
- CS Basics
- DBMS
- Data Visualization
- Python / R
- Big Data

Soft/Human Skills
- Problem Solver
- Critical Thinking
- Leadership / Team Building
- Understanding of Business Operations
- Persuasive Communication

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.

Identify organization’s Big Data needs.
Finalize scope of systems and deliver Big Data solutions.
Conduct pre-processing services and load disparate data sets.
Create and maintain the company’s software.
Responsible for hardware architect.
Take care of the systems and processes.

Average Salary

The average annual salary that a big data engineer can make ranges between $75,000 and $145,000.

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17 months (1-3 hours/weekly)
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Ref : glassdoor.com

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 Ivy League Data Science 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 $83,000 and $169,000.

Ref : glassdoor.com

Related: Python for Data Science and Machine Learning

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 $34,000 and $84,000.

Ref : glassdoor.com

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™: real-life data science exercises.

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 $45,000 and $125,000.

Ref : glassdoor.com

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. Follow here for a complete Business Intelligence Analyst Career Path.

Key Responsibilities

A business intelligence analyst has to perform the following tasks.

Define goals by consulting with management and relevant stakeholders.
Research, develop, and implement data collection methods.
Respond to management’ requests for specific information.
Scrutinize data independently for finding different patterns and trends.

Average Salary

A business intelligence analyst’s average salary ranges between $61,000 and $120,000.

Ref : glassdoor.com

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. Here are some Best National University of Singapore Courses that you might be interested in.

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 $82,000 and $167,000.

Ref : glassdoor.com

A Crash Course in Data Science

- - John Hopkins University via Coursera
  - 7 hours of effort required
  - 168,399+ already enrolled!
  - ★★★★★ (7,310 Ratings)

Data Science Methodology

- - IBM via Coursera
  - 10 hours of effort required
  - 128,654+ already enrolled!
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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.

Build an organizational structure for a company’s data.
Evaluate existing data systems.
Translate and analyze business needs into long-term solution data models.
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 $69,000 and $129,000.

Ref : glassdoor.com

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 $67,000 and $125,000 per year.

Ref : glassdoor.com

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 $60,000 to $117,000.

Ref : glassdoor.com

Spatial Data Science and Applications

- - - Yonsei University via Coursera
    - 12 hours of effort required
    - 15,464+ already enrolled!
    - ★★★★☆ (361 Reviews)

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.

Manage master data, users, and user roles.
Process sensitive data as per the guidelines.
Improve company’s systems that can help to make future insights easier.
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 $46,000 and $106,000.

Ref : glassdoor.com

Sources:

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10 Best Paying Data Science Jobs and Desired Skills