For all the controversy that has surrounded the popular social networking platform in recent years, Facebook remains a highly visible company that draws significant technological talent. With truly staggering amounts of data and a variety of interesting projects to choose from, software engineers, UX/UI designers, data scientists, and many others with in-demand skills compete regularly for employment at Facebook.
You might be curious as to what you can expect to earn if you get a data science job at Facebook. We’ll find the answers in this Career Karma article!
Facebook Data Science Salaries
According to Glassdoor, the average baseline salary for a data scientist at Facebook is $145,807. Once you factor in stock and cash bonuses, this rises to an average of $155,000. It’s also worth pointing out that, like many other modern, successful technology companies, Facebook sweetens the deal with numerous perks. Facebook treats their employees to free snacks, and they offer generous health insurance plans, along with competitive maternity and paternity leave.
How Does This Compare to Other Salaries at Facebook?
The salary for a data scientist at Facebook compares favorably to salaries earned in similar roles throughout the company. Software engineers at Facebook make a comparable $147,725 annually, $143,164 for production engineers, and research scientists make $146,324.
How Does This Compare to the Average Data Science Salary?
Facebook data scientists also do well compared to the field as a whole. Based on Glassdoor’s figures, the average data scientist makes $117,345 annually, nearly $30,000 less than Facebook’s data scientists make on average. Even senior data scientists only make $137,000, on average.
It’s clear that landing a coveted data science role at Facebook (or any other large tech firm) is going to beef up your checking account. Add to this the fact that you get to work on interesting problems and technology used by nearly everyone, and it’s no wonder that the competition is so stiff.
Taking the first step toward such a role could be as simple as browsing Career Karma for information on coding bootcamps, programming languages, technical interview questions, and much more!