Significant impact but varying roles in data science - Data Science Amazon Employee Review

2.0
May 12, 2026
Recommend
CEO approval
Business Outlook

Pros

Huge business impact Amazon data scientists work on real operational problems: delivery estimates, supply chain, pricing, recommendations, advertising, fraud, AWS, devices, and customer experience. Current Amazon DS postings mention predictive modeling, classification, feature engineering, experimentation, SQL, Python, ML evaluation, and translating business problems into metrics and models.

Cons

Data science may be more business analytics than research ML Some DS roles are highly ML-heavy, but others are closer to product analytics, experimentation, forecasting, dashboarding, SQL-heavy investigation, or decision support. You need to read the job description carefully.

Explore other reviews about Amazon

5.0
Jul 4, 2026
Recommend
CEO approval
Business Outlook

Pros

Cross training that helps for faster growth and more experience.

Cons

Sometimes you gotta hurry and find equipment or pit equipment before others snag them and leave you with the “bad” ones. That take forever to get repaired.

5.0
Jan 10, 2016
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Really smart people, a lot of opportunity for growth, always encouraged to be innovative, think big, and create something new. Competitive salary and benefits with other major tech companies. 100% self motivating work environment. No dress code and 4 legged friends are welcome.

Cons

You have to be self motivated. NO ONE will hold your hand and tell you that you're doing a great job. If you need constant affirmations from management, this company isn't for you.

3159
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