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
Jun 27, 2026
Recommend
CEO approval
Business Outlook

Pros

Good managers, huge focus on safety and making sure you're doing well.

Cons

You have to get your own lunch as free lunch is rarely provided.

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
See reviews by: Helpful|Rating|Date|All