4.0
Nov 14, 2022
Current employee, more than 1 year
Los Angeles, CA
Recommend
CEO approval
Business Outlook
Pros
There is a mature approach to their data science practices that involves software development and data engineering to ensure data science analytics and models are not built on a shaky foundation.
Cons
Project workload can drastically vary between people. Some colleagues get stuck on greatprojects with applied ML and data science. In contrast, others are stuck doing statistical measurements for several months while developing slides and other non-technical deliverables to shareholders.