Is Google a good company to work for as a Data Science?

Data Science professionals working at Google have rated their employer with 4.4 out of 5 stars in 395 Glassdoor reviews. This is an average score with the overall rating of Google employees being 4.4 out of 5 stars. Search open Data Science Jobs at Google now and start preparing for your job interview by browsing frequently asked Data Science interview questions at Google .

Does Google pay Data Science employees well?

Data Science professionals rate their compensation and benefits at Google with 4.6 out of 5 stars based on 395 anonymously submitted employee reviews. This is 2.2% better than the company average rating for salary and benefits. Find out more about Data Science salaries at Google.

What are the top reviewed jobs at Google?

Software Engineer (10522) , Senior Software Engineer (1605) , Intern (1236) , Software Developer (1219) , Account Manager (851) , Product Manager (796) , Software Development Engineer (SDE) (770) , Analyst (758) , Program Manager (630) , Project Manager (610) , SWE Intern (545) , Data Scientist (515) , Internship (502) , Software Engineer(Internship) (496) , Manager (484)

What are the pros of working at Google according to real employee reviews?

"My teammates were really great people and did a lot to help me get up and running."" ((in 4240 reviews)); "great benefits and I do believe they build some of the best products out there." ((in 3784 reviews)); "Great environment and culture for each individual to proactively dive into what ever they are working on." ((in 3460 reviews)); "In those positions you can have a good work/life balance and just use all the benefits" ((in 2682 reviews)); "Would recommend Software Engineering/Development/PM at Google if you want a nice comfy job with perks and good pay." ((in 2302 reviews))

What are the cons of working at Google according to real employee reviews?

"Long hours and lots to learn if you are not a learner it might not be the best place" ((in 818 reviews)); "bad management and rude to customers" ((in 742 reviews)); "Recent layoffs (I've not been impacted) have felt really sad to experience." ((in 579 reviews)); "People are forced out by bad managers via bad annual reviews and PIP program to get there friends in there." ((in 569 reviews)); "Bad leadership and goal progress" ((in 298 reviews))

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Google

Google Data Science reviews

4.4

90% would recommend to a friend

(395 total reviews)

Sundar Pichai

85% approve of CEO

91% positive business outlook

Ratings by category

4.6

Compensation and benefits

4.5

Culture & values

4.5

Diversity & inclusion

4.4

Work/Life balance

4.4

Career opportunities

4.2

Senior management

Data Science employees have rated Google with 4.4 out of 5 stars, based on 395 company reviews on Glassdoor. This indicates that most Data Science professionals have an excellent working experience there. Google is rated in line with the average (within 1 standard deviation) by Data Science professionals compared to other employers within the Information Technology industry (3.9 stars).

Ratings by demographic groups

Race / Ethnicity

Gender

Sexual orientation

Disability

Parent or family caregiver

Veteran status

Reviews by job title

395 reviews

4.0

Mar 11, 2026

Good people, but managers sit elsewhere

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Benefits Projects Snacks/Drinks Equipment given to employees

Cons

Food is mediocre and low quality compared to other offices Your manager likely sits somewhere else Don't get the same access as if you were in a western office

4.0

Mar 1, 2026

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Good to work and lot of perks

Cons

Long hours and work on weekends

3.0

Feb 16, 2026

Positive Review

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Work with brilliant minds: Opportunity to collaborate with some of the brightest engineers, analysts, and researchers in the tech industry on cutting-edge machine learning and statistical problems Technical product managers: PMs at Google are more technical than at other companies, meaning fewer requests for basic SQL queries or spreadsheet updates that should be PM responsibilities

Cons

Difficult to make individual impact: At such a massive company, it can be challenging to see how your individual contributions meaningfully affect the business or product Slow product release cycles: Despite working like startups, teams often face sluggish release cycles with long hours but without the agility and rapid iteration of actual startups

Viewing 13 - 15 of 395 Reviews

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Google Data Science reviews

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Good people, but managers sit elsewhere

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