Big company, More Data, Smaller Dataset, Medium Sized Models - Challenges at Different Levels - Different Data Science Backlogs

FAANG

• FAANG Companies have no shortage of data, more data and really loads of streaming, insights, all types of clicks
• Model complexity and large scale training deployment are your challenges

Domain (Automotive / Retail) - Next List after Core Companies

• Companies adopting Data Models
• Companies aiming for DBT
• The challenges in Data Science where you are ahead of data collection, and data maturity is different
• Data Collection, Engaging, and Selling Data Science use case becomes elementary
• Mid to small scale models deployed based on business needs
• Learning at both places is different. Challenges are different.

You can specialize in multiple areas

• NLP  
• Vision  
• Recommendations
• Forecasting
• Anamoly Detection

Business knowledge + Feature knowledge + Impact + Selling + Building + Deploying is a never-ending learning curve :)

Keep Thinking!!!