Pros
+ Supportive teammates when collaboration was needed, but not overly dependent structures—ideal for those who are proactive and independent. + High level of autonomy in research and problem-solving. I was able to take full ownership of projects from ideation to delivery, which helped me grow as a self-sufficient contributor. + Interesting technical challenges with real-world industrial data.
Kontras
- Some organizational silos limited visibility into how research translated into product impact. - Lack of structured mentorship—may not be ideal for those early in their careers or seeking frequent feedback. - Data quality and access highly dependent on customers and other stakeholders often slowed down projects. - Lack of long-term career opportunities.