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Be it weather forecasting, fraud detection, image recognition or gaming, data science is influencing almost every sector, including technology, retail, and health care. In fact, data science has become one of the industries with the greatest rate of growth, with over 650% growth since 2012 and a projected 230.80 billion USD market by 2026. Also, due to the scope for entrepreneurship, starting salaries for data science-focused employment categories have seen phenomenal development in recent years. As a result, Data science-related job responsibilities are among the most sought-after tech positions globally at the moment, and they are also among the third-highest paid with a greater need for qualified personnel.
Now, if you are aligned with statistics, math, programming, coding, or software development and are curious to know more about the field of data science, here are some interesting details about the top data science careers that you may find amusing. Read to know more…
1. Data Scientist
- What will you do?
As a Data Scientist, you will sift through and choose the inquiries that your team should make. You will come up with data-driven solutions to the problems, frequently creating predictive models and algorithms to speculate and anticipate outcomes.
- What skills do you require?
You require proficiency in data science programming languages like SQL, Python, Hadoop, and R as well as a solid grasp of business strategy, machine learning techniques, and data visualization techniques.
- What is the average yearly pay?
The average yearly pay as per industry reports is $103,140.
2. Data Architect
- What will you do?
As a Data Architect, you will plan systems that handle and organize data. You will develop a system that processes information based on the company’s plan to solve a particular issue and present it so that data scientists may work with the trends and patterns.
- What skills do you require?
You require knowledge of Data modeling, data warehousing, data management, data development, and data visualization, as well as knowledge of database design and cloud architecture.
- What is the average yearly pay?
The average yearly pay as per industry reports is $119,156.
3. Data Analyst
- What will you do?
As a Data Analyst, you will gather, process, evaluate, review, and organise data. You will arrange the data and do statistical analyses to discover trends that can help a client or your employer solve difficulties and guide crucial business decisions.
- What skills do you require?
You require a deep understanding of Python, Tableau, SQL, Microsoft Excel, and econometrics (using statistics to predict future trends) as well as machine learning and probability.
- What is the average yearly pay?
The average yearly pay as per industry reports is $67,150.
4. Business Intelligence Engineer
- What will you do?
As a Business Intelligence Engineer, you will analyze large amounts of data primarily for financial and commercial goals. You will create, deploy, manage, and develop these data systems and design user interfaces that make it simple for employees to glance at pertinent task data and easily digest it. You will also work on other systems, such as databases and dashboards that users interact with, to examine data clusters effectively and thoroughly.
- What skills do you require?
You require skills in statistical analysis, data visualisation, data preparation, data mining, and data reporting along with deep knowledge of programming languages used in data science, such as Microsoft SQL, C#, and JavaScript.
- What is the average yearly pay?
The average yearly pay as per industry reports is $94,607.
5. Machine Learning Engineer
- What will you do?
As a Machine Learning Engineer, you will create the framework for AI systems to communicate with massive amounts of data. You will frequently collaborate with other programmers and data scientists to develop artificial intelligence software that can find patterns in data, filter it, and run calculations. You will also program standalone applications that use artificial intelligence to automate operations.
- What skills do you require?
You require a thorough knowledge of programming fundamentals, software engineering, quantitative analytic techniques, and building out data pipelines.
- What is the average yearly pay?
The average yearly pay as per industry reports is $108,402
6. Data Engineer
- What will you do?
As a Data Engineer, you will enable other data scientists and mathematicians to thoroughly examine trends and patterns for interpretation, by creating systems that can automatically collect, store, organize, and analyze large amounts of data. You will simplify the information so that it may be processed and applied to benefit a business or client.
- What skills do you require?
You require deep knowledge of Python, SQL, Apache Spark, Hadoop, Java, NoSQL, and C++. A thorough understanding of machine learning, data warehousing, algorithms, and data structures is also required.
- What is the average yearly pay?
The average yearly pay as per industry reports is $94,067.