Data scientist jobs are in high demand as businesses increasingly rely on data to drive decision making. Data scientists come from a variety of disciplines, including engineering, math, computer science, business, and natural or social sciences with a greater number of colleges offering data science certificates and degree programs. Boot camps are also becoming increasingly common as a way of breaking into the field. Responsibilities include collecting, analyzing and interpreting big data. To remain competitive, job-seekers should be comfortable working with numbers, be great communicators and seek out industry-specific certifications and coding certifications.
Ready to find a new data scientist job? So many amazing companies are looking for entry-level and remote data scientists, and more on Glassdoor right now. Your future favorite job might just be among them.
It's easy to find roles that match your level of experience. If you're newer to the field, look for junior positions to help you develop your skills and grow your expertise. If you're a more seasoned data scientist, search for senior positions. You can also use the handy filters Glassdoor offers to zero in on the perfect job. Want flexibility? Use the work from home only filter. Looking for a quick application process? Opt for the easy apply only filter.
Once you have the perfect job in your sights, start preparing for interviews. Review these frequently asked data scientist interview questions and suggestions about how to answer them successfully.
Whether you're still searching for a job, scheduling interviews, or negotiating a job offer, you must clearly know what a data scientist should earn. Here's how to set yourself up for salary success:
Of course, salary is essential, but remember that employers may put other benefits on the table as part of your total compensation offer. Look out for additional perks, like: