When we think about Data Scientists, we actually mean a variety of job roles that require the applications of Data Science.
Here are the top career paths for Data Scientists and the associated salaries (PayScale) in the United States of America:
1. Machine Learning Engineer
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.
2. Data Architect
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.
3. Data Scientist
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.
- Data Analyst: $78,353 annually
- Business Analyst: $77,854 annually
- Statistician: $75,156 annually
- Full-stack Developer: $96,898 annually
- Business Intelligence Developer: $94,189 annually
- Business intelligence Analyst: $77,854 annually
- Data Engineer: $92,503 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.