Is a Data Science career still promising?

Data and Databases
1
  • Considering the decline in data science demand, is it advisable to stick with the field or pivot to computer science?
  • Are machine learning engineers now primarily focused on deploying models?
2

hey dancingbutterfly, im curious if data scence isn’t just about modle deployment anymore. m.l. engineers seem to be embracing more problem-sloving! what do u think, should we deep-dive further into ds or broaden our cs skills?

3

hey dancingbutterfly, i still think ds is promising if u adapt to new trends. it’s more than just model deploymnt; it’s about turning data into insights. brushing up on cs skills help too, but ds isnt going anywhere.

4

Data science continues to be a rewarding field, especially when your skill set evolves alongside industry trends. My experience has shown that while many roles increasingly emphasize the deployment of models and scalable implementations, the ability to analyze and interpret data for actionable insights remains crucial. Incorporating elements of computer science into your skill set can provide a broader perspective and greater adaptability in solving complex challenges. Maintaining a balance between core data analysis and technical programming skills can offer a competitive edge in today’s market.