Snap Data Scientist Interview Questions + Guide in 2024

The Snap data science interview questions will consist of a wide-breadth of problems that test the full-stack knowledge of data science. This means for the technical interview, Snap will be testing SQL queries, python scripting, AB testing and experimentation, statistics, and product questions about Snap.

Typically, interviews at Snap vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

Most of the behavioral interview questions are during the recruiter and onsite interviews. Common behavioral questions in the data science interview would be:

• Why are you interested in working at Snap?
• Tell me about your experience working at Company X.
• What kind of data science role are you interested in?

Snap’s technical screen for data scientists will revolve around answering a product interview question and a SQL question. Many times these will involve scenarios amongst ads and engagement.

They may also test more statistics and AB testing in the technical round if it’s on a team with lots of experimentation.

Here are some example technical questions:

• Given a schema of ads and ad impressions, write a query to get the total number of impressions broken down by Snap lens versus regular.
• How would you investigate a drop in user engagement within Snap stories?
• Given uniform distributions X and Y and the mean 0 and standard deviation 1 for both, what’s the probability of 2X > Y?
• Given a log file, parse the file and return the name, age, and gender of each user.
• In an A/B test, how can you check if assignment to the various buckets was truly random?
• Given two independent standard normal random variables X and Y, what’s the probability that 2X>Y?

See more Snap data scientist interview questions on Interview Query:

Snap has a high compensation package, which is worth knowing during the offer negotiation. Their average salaries for technical hires range from $193,342 (in the 25th percentile) to $273,544 (in the 75th percentile). The average salary is $237,743 while the top 10% earn $319,865. For this reason, the interviews are difficult, and the baseline to hire is extremely high.

A recent data scientist with five years of experience also managed to get an offer at Snap that offered a $195K base salary with $280K of stock options plus a $20K bonus. This comes out to a yearly total compensation of almost $300K in just the first year.

Snap is also doing pretty good right now. They recruited a lot of good talent from Facebook, Google, Amazon, etc… companies, and engineering culture is good as well. Given multiple offers, Snap can usually beat any other offer in terms of total compensation in data science.

From the company culture, it’s noted that the people in data science teams have good work-life balance and do not get stressed too often within project release deadlines. However, different teams can have different cultures, and there are horror stories about some data science teams at Facebook, which can be similar at Snap.