What is it like to work as a data scientist at Facebook?

What is it like to work as a data scientist at Facebook?

It’s all a very iterative process, and to me, this is what data science essentially is. I really enjoy working with the people at Facebook. Their work ethic is awesome, and everyone is self-driven. There is a lot of trust and autonomy; it is entirely up to me how I plan my day to meet my project goals.

What is the difference between data science and decision science?

Data scientists use data to come up with conclusions or predictions about things like customer behavior, while decision scientists combine data with other information sources to make decisions. The difference between data science and decision science is important for business owners who want to make informed decisions.

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How much do Facebook data Science interns make?

INTERNS: Facebook interns are among the most well-paid in the industry and make $8,000/month during their summer internship. Interns also receive additional benefits such as airfare to and from the city where they are completing their internship, a housing stipend, and complimentary meals and shuttle services.

It requires a multi skill set of data analysis, product intuition, SQL coding, and a lot of communication with business and key stakeholders. Generally focused on the business side rather than engineering, the Facebook data science role is generally more like a product analyst and analytics job at many other companies.

What is the interview process like at Facebook for data analyst?

A candidate can also interview for multiple roles at once at Facebook. The data analyst interview process generally takes 2–3 weeks, but can sometimes last over a month. Typically there are 2 main parts to the process: 1. Initial Phone Screens

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What programming language should I use for the Facebook analyst interview?

Pseudo code is not acceptable for this portion of the interview as they want to see real SQL or pandas code being written. It’s highly suggested to write in SQL as this is the language that all of the analysts and data scientists use at Facebook.

What is the difference between a data analyst and data scientist?

Data analysts analyze data to find trends and often create visual representations of data to share their insights with the company. They’re typically required to know how to query data and visualize data with some sort of tool, like Tableau. Data scientists at Facebook also do what a data analyst does but more.