In this article, we are going to explore the highest-paying job roles in Data Science. Let’s start with the definition of Data Science.
What is Data Science?
Data science is one of the rapidly growing fields. Even today, Data Science is a hot topic among professionals and organizations that focuses on collecting the data and drawing meaningful insights to aid business growth.
Moreover, data science is an interdisciplinary field that helps analyze the data to make our lives better. Also, the demand for data scientists is constantly growing.
Furthermore, as long as you are open to learning new things and willing to put in time and effort, you don’t require a degree.
Highest Paying Job Roles In Data Science
If we talk about highest paying job roles in Data Science, the three prominent highest paying data science careers are:
- Computer science.
- Statistics and mathematics.
- Business domain knowledge.
In addition, some companies want you to learn all the skills of all these positions. Still, as your team grows at your company, you may find that some people will focus on their strengths to solve the most problems with Data Science and therefore become specialized in one of the roles below.
- Business Analyst
- Database Administrator
- Big Data Engineer
- Data Analyst
- ML Engineer
- Business Intelligence Analyst
- Data Scientist
- Computer Vision(CV) Engineer
- Natural Language Processing Engineer
- MLOps Engineer
#1 Highest Paying Job Role In Data Science – Business Analyst
A business analyst is a person who analyzes & documents the market, environment and processes. Moreover, business analyst helps businesses to improve their products, services, and software through data analysis and software. However, business analysts don’t need programming skills.
Furthermore, according to Robert Half, the typical roles for business analysts include creating detailed business analysis, budgeting and forecasting, planning and monitoring, variance analysis, pricing, reporting and defining business requirements for stakeholders.
Skills Required for Business Analyst Job Role
The primary skill set required for a business analyst job role is as follows.
- Commercial awareness
- Analytical skills
- Problem-solving skills
- Communication and ->interpersonal skills
- Time management and organizational skills
Fun Fact: The average pay salary for the business analyst is 7L p.a
#2 Highest Paying Job Role In Data Science – Database Administrator
Database administrators create and maintain databases compatible with their company needs. Also, the job of a database administrator is self-explanatory. Moreover, data administrators are responsible for functioning all the databases of an enterprise and granting its services to the company’s employees based on their requirements. In addition, they are also responsible for database backups and recoveries.
Skills Required for Database Administrator Job Role
You must be ready with programming languages, database design documentation, and coding for a database administrator job. Also, you must have previous experience with DPA case tools and third-party tools.
In addition, you must be perfect in problem-solving skills and the ability to think algorithmically. Finally, you must know about data backup security, SQL integrity and recovery.
Fun Fact: The average salary for a data administrator is 8.5 L p.a
#3 Highest Paying Job Role In Data Science – Big Data Engineer
Knowledge of different programming and scripting languages is an essential skill for a Big Data Engineer job role. Usually, people with experience of at least three years handling databases and software development are preferred for an entry-level position.
Skills Required for Big Data Engineer Job Role
- Basics of data structures and algorithms
- Stream processing solutions like Storm or spark
- Big data wedding tools like a pig, Impala, hive.
- Messaging systems like Kafka & rabbit MQ.
Fun Fact: The average salary for a prominent data engineer is 7.7 L p.a
#4 Highest Paying Job Role In Data Science – Data Analyst
Languages like Python, R & SQL are a part of the data analyst’s basic knowledge. Moreover, a data analyst requires a combination of technical and analytical expertise with ingenuity.
Skills Required for Data Analyst Job Role
- Moreover, they should know data retrieval and storing systems, data visualization
Fun Fact: The average pay structure of data analysts is 5L p.a
If you want to know more about data analysts, you can read the article below.
#5 Highest Paying Job Role In Data Science – Machine Learning Engineer
Machine learning engineers are always in high demand; however, the job of machine learning engineer comes with its challenges. In addition, Machine learning engineers should have deep knowledge in some of the most powerful technologies like REST APIs, SQL, etc.
Moreover, they should also know how to build data pipelines, A/B testing, and implement standard machine learning algorithms such as clustering, classification, etc.
Skills Required for Machine Learning Engineer Job Role
- An ML engineer should know how to build highly scalable distributed systems.
- They should have a strong foundation in mathematics and statistics.
- ML engineers are expected to have Experienced in SQL, Amazon Web Service etc.
Fun fact: The pay structure for machine learning engineers is 7.5L p.a
If you want to know more about machine learning, please click the link which is provided below.
#6 Highest Paying Job Role In Data Science – Business Intelligence Analyst
The job of a business intelligence analyst is to find patterns and value in the company and industry data. Moreover, a business intelligence analyst will be expected to work with SQL and analyze data, data visualization, etc.
In addition, the job of a business intelligence analyst requires strong communication skills to communicate your results with another company.
Skills Required for Business Intelligence Analyst Job Role
- Data security and privacy.
- Data mining and analytics.
- Handle all variants of SQL.
- Database design and architecture.
- Cloud computing and data storage technologies.
Fun Fact: The average pay structure for a business intelligence analyst is 8.26L p.a
#7 Highest Paying Job Role In Data Science – Statistician
A statistician Will know statistical theories and data organization. Also, they extract valuable insights from the data clusters and help create new methodologies for engineers to apply.
Skills Required for Statistician Job Role
- A degree in statistics, Maths
- Knowledge in programming languages
- Background in statistical theories data mining and machine learning
- Data visualization is a handy skill for a statistician.
Fun Fact: The Average pay structure for statisticians is 5.5 L p.a
#8 Highest Paying Job Role In Data Science – Data Scientist
Data scientists should understand the challenges of the business, and they should offer the best solutions using data processing and data analysis. Moreover, it is the most demanded profession today. In addition, data scientists are expected to perform predictive analysis and run through unstructured data or actionable insights.
- They are expected to be experts in SAS, Python, Pig, Spark, SQL.
- Moreover, they should hold higher degrees in statistics and mathematics.
Fun Fact: The average pay structure for a data scientist is 7L p.a
#9 Highest Paying Job Role In Data Science – Computer Vision Engineer
Computer vision engineering is a scientific way that deals with how computers are made to gain high-level understanding from digital images.
Moreover, CV engineering is concerned with the analysis, automatic extraction and knowledge of helpful info from a sequence of images.
Skills Required for Computer Vision Engineer Job Role
- Computer vision knowledge
- CV tools
Fun fact: The average salary for a computer vision engineer is 20L p.a
#10 Highest Paying Job Role In Data Science – Natural Language Processing Engineer
Have you ever wondered how Siri or Google Assistant can understand what you are saying? That is because of NLP in Play!
Natural language processing comes from a combination of computer science, artificial intelligence and information sciences. Moreover, Natural language processing focuses on the interaction between human languages and computers.
Although computers handle structured data sets brilliantly, they require a little help in human languages.
Skills Required for Natural Language Processing Engineer Job Role
- Firstly, Clustering and text classification skills are required
- Secondly, you must be perfect in Programming skills
- Also, you must be perfect in synthetic and semantic parsing
- You must have strong problem-solving abilities
- Moreover, you need to get knowledge of deep learning and machine learning
Fun fact: The average salary for a natural language processing engineer is 7L p.a
#11 Highest Paying Job Role In Data Science – MLOps Engineer
MLOps is communication between data scientists, the production team. Moreover, it is deeply collaborative. In addition, MLOps is designed to remove waste, automate as much as possible and produce more consistent insights with ML.
Furthermore, MLOps can be a game-changer for business and develop into a science experiment. They work through the corporate interest with measurable benchmarks.
Skills required for MLOps Engineer
- Firstly, You must have good understandings of machine learning and artificial intelligence concepts
- Secondly, you must have good communication skills, both verbal and writing
- In addition, you need experience in CD/CT/CI pipeline implementation
- Also, knowledge of python programming is a must
- Finally, you need to have some experience with cloud platforms
Fun Fact: The average salary for an MLOps engineer is 8L p.a
So, these are the list of highest-paying job roles in Data Science. To read more about the Data Science career roadmap, you can visit Techlearn Data Science specialization here. You can also visit our Facebook page.