The role of a Data Scientist is one of the fastest-growing jobs in the United States and globally. For instance, the job scope for the field of Data Science has grown by 6.5 times in the United States. Machine Learning Engineer is at the top of the list in the U.S. as well, experiencing a massive 980% increase. There are way more Data Science and Big Data professionals than we had even during these periods of extreme flourishment in IT. This is especially due to the massive increase in the reliance on big data and the dependency on Data Science for operations of all kinds.

Step 1: Become interested in Data Science and the tools associated with the field.

Step 2: Join an undergraduate degree relevant for Data Science (CS or IT-centric) or pursue a postgraduate program focused on Data Science.

Step 3: If you have finished your degree already, you can start taking courses for tools and specific skills that you want to learn in Data Science.

Step 4: Engage in projects, deploy your own projects or join an internship.

Step 5: Finally, apply for jobs after preparing yourself for the interviews and technical rounds.

Regardless of where you are, a simple search can show you the huge number of available jobs for Data Science professionals. This is especially true for Data Scientists in the U.S., as it is one of the fields with the highest demand and immense scope for growth. According to Indeed, Data Scientists earn an average salary of $119,277 in the U.S. per year based on the salaries of around 2600 Data Scientists from the United States of America. The job role of a Data scientist is one of the most popular jobs in the United States currently, at least according to LinkedIn’s job reports. According to the 2020 U.S. Emerging Jobs Report, the hiring for these job roles increased by about 35%.

Going by the predictions provided by IBM, the number of job openings in the United States has increased to more than 2,720,000 now. Also, the big data market is projected to reach a market value of more than $103 billion by 2027, a huge chunk of which will be generated from the United States.

According to the US Bureau of Labor Statistics, Data Scientists and other Information research scientists will expect a growth of 22% in their respective fields between 2020 to 2030. This is the highest growth rate among all occupations and fields.

When we think about Data Scientists, we actually mean a variety of job roles that require the applications of Data Science.

Machine learning engineers design, build, operate and maintain machine learning models or systems that get better while performing tasks. They source the data required for training Machine Learning systems and developing ML algorithms for training the models to operate without human supervision.

Salary: $121,018 on average per annum.

Data Architects evaluate and analyze a company’s data needs and then figuring out how to source the data efficiently. These professionals are also involved with designing the database systems and ensuring effective database management. Data Architects must be proficient in DBMS systems (mainly RDBMS), cloud computing, database designing, data migration, and data warehousing.

Salary: A median salary of $147,547 annually.

This is one of the most desirable job roles in the U.S., with ample career scope and numerous options for a career change. Data Scientists can work on unstructured data and conduct statistical analysis to extract insights. They require a wide variety of skills, ranging from statistics, mathematics, database administration to visualizing, predicting, and reporting.

Salary: $96,480 on average annually.

The global market for Data Science is only increasing. As per the latest stats, this field will expand at a CAGR of 26.9% till 2027, thus creating more unique job opportunities in the upcoming years.