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Data science is a field that is growing at a rapid pace, and the demand for data scientists is only going to increase as more businesses realize the importance of analyzing data to make better decisions.
Data science jobs range from data analyst to data scientist. Data scientists are responsible for designing and implementing models that can be used to solve problems and make predictions about future events. They use statistical analysis and machine learning tools to analyze large amounts of raw data and turn it into useful information, which can then be applied in many different industries.
Data analysts use data science techniques to help businesses gain insights into their customers’ behaviors, preferences, and buying habits. Data analysts may work closely with marketers or sales teams in order to develop strategies based on real-time customer behavior data.
The average salary for a data scientist was $111,483 in 2016 according to Glassdoor’s latest report on IT & Software Jobs*. Here are some examples of jobs you could get with a degree in this field:
What jobs can i get with a data science degree
Introduction
Data scientists have a ton of career options to consider. Many people wonder what they can do with their degree, and fortunately there are lots of choices. Here’s a closer look at what you can expect from the job market and how it will change over the next few years.
Data Scientist
Data scientist is a job that uses data to solve business problems. Data scientists need to have a high level of skill and experience in order to solve business problems with data. Data scientist jobs are in high demand, so if you want a career as a data scientist, it’s important that you gain experience before trying to get hired for one.
Data science degrees are available at the bachelor’s and master’s levels, but most employers prefer candidates who have earned their PhDs in computer science or statistics (or some other discipline related to data science).
Data scientists may work remotely from home offices or co-working spaces during some parts of their careers; however, most employers expect you visit them regularly on site at their offices or labs because they need your expertise there when making decisions about how best use the organization’s resources strategically while maintaining quality control over all outputs produced by those efforts.*
Business Intelligence Developer
A Business Intelligence Developer is someone who develops applications that help people make better decisions. They use data to inform business decisions, and use these insights to improve products/services.
A Business Intelligence Developer uses data science skills to build reports, dashboards, and other applications that help users make better decisions based on the information they have available.
Data Analyst
- Data analyst: A data analyst is responsible for analyzing data to draw conclusions, find patterns and make recommendations. This could include everything from working with large sets of data to create reports, develop business strategies and make product decisions. It may also include using tools like Excel or SPSS to conduct statistical analysis or perform predictive modeling.
- Data scientist: According to the Bureau of Labor Statistics (BLS), a data scientist analyzes large amounts of data in order to identify trends that can help businesses make better decisions about how their products are developed or marketed. They’re not just analysts—they use computer programming as well as business knowledge in order to analyze this information in new ways for companies’ benefit.
Data Engineer
Data engineers are responsible for building the infrastructure to store and process data. In other words, they are the people who build and maintain the databases that store the data, and they develop software to process it.
As a data engineer, you’ll be working with both structured and unstructured information. You’ll need to know how to handle these different types of information in order to make sure your company can keep its customers happy by providing them with their desired products or services at the right time.
Software Engineer
Software engineers are a critical part of any company with an IT department. They develop the software that helps businesses operate more efficiently, and often include data science in their work. Software engineers use the data obtained from software to make adjustments to improve efficiency and user experience. The following are some examples of jobs available to those with a degree in computer science or information technology:
- Web Developer
- Computer Programmer
Machine Learning Engineer
Machine learning engineers are in high demand. The job market for them is growing rapidly, and machine learning engineer jobs are currently the most sought after positions in data science. Machine learning engineers need to be able to build, test, and maintain machine learning systems that can process huge amounts of information quickly. They also work closely with data scientists on these projects so they must understand the entire data science process from start to finish.
There are many options to use a degree in data science to find a job
As a data scientist, you can work in almost any industry. You can get a job in any city or country as well as any position, role and department.
The only limit is your own imagination!
Conclusion
The fields of data science, machine learning and artificial intelligence are some of the most rapidly growing markets in the technology industry. Even if you’re not planning on pursuing a job as a data scientist, there’s still plenty of reasons why you might want to consider taking classes or getting an education in this field! So what are some careers that require knowledge about these subjects?
