A data scientist is skilled to interpret large amounts of data to solve real-world problems. Those in this career field are not only useful in the IT world, they are valuable in any industry as the work they do can increase a company’s profits. This keeps data scientists in high demand. They must use a blend of computer programming, math, and statistics to accomplish their daily tasks. There are also big data scientists. Big Data scientists use scientific methods, algorithms, and systems to extract knowledge and analyze information from large structured and unstructured datasets to help businesses.
Benefits of a Data Scientist
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- Employers often have competitive salaries and benefits for data scientists.
- They like daily challenges and knowing the job is always exciting.
- Data Scientists are well-versed in machine learning, deep learning, and artificial intelligence and implementation so if you enjoy these topics, it will keep you engaged.
- They are often in demand in every industry.
- Data Scientists like the benefit of making products smarter and knowing their work is essential and making a difference in society.
How to Become a Data Scientist
Data scientists use a variety of skills to collect and interpret data. They use statistics and also know computer programming. They must have a blend of IT, math, and business skills to be successful. There are a few paths you can take to become a data scientist. First, you can gain a bachelor’s degree that will give you the skills necessary for the career. Look for majors such as data analytics or data science.
If you already have a bachelor’s degree, you can also look for master’s degree programs as well that will provide the additional skills you need. Bachelor’s degrees in math, computer science, statistics, and economics degrees provide a strong foundation for a master’s degree program.
Big Data scientists need a minimum of a bachelor’s degree in data science, computer science, statistics, or other related fields to get an entry-level job. Most big data scientists get a master’s degree in data science or other qualified degrees, like biotechnology, physics, or engineering. Courses include science, mathematics, engineering, and statistics, among other relevant classes. You can take online courses part-time to help with balancing school and work.
High school students can take mathematics, communication, computer science, and engineering. Big data scientists need excellent communication skills, both orally and written. They need to be problem-solvers and understand strategy in business. Scientists need to be flexible and adaptable and be able to learn as they go along. They need to be critical thinkers and have interpersonal skills. They also need to be ethical in business practices with big data.
Job Description of a Data Scientist
Data scientists are given a particular business problem and then they seek the data necessary to support the solution of that problem. They leverage technology to collect large amounts of data that can support their findings. They are also skilled at identifying whether data is accurate, complete, and usable in the first place. This requires a data scientist to use programming skills to pull necessary data from a database in order to evaluate that data and validate that data before using it.
Data scientists also collaborate across departments and must communicate their findings along with recommended solutions to stakeholders. They would also identify and communicate any trends they might have discovered when evaluating the data. Data scientists earn an excellent salary and their are endless opportunities for growth and advancement. Their jobs are also not redundant. Therefore, it is never dull. Every business has a unique problem to solve. The job is challenging, intellectually stimulating, and versatile.
Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Computer and Information Research Scientists.