PhD in astro to become a data scientist?

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SUMMARY

The discussion centers on the viability of pursuing a PhD in astrophysics while simultaneously preparing for a career in data science. Participants confirm that leveraging data analysis skills acquired during a PhD can lead to successful transitions into data science roles, despite the potential for job monotony in the field. The experience shared by a former RF test engineer highlights the importance of data mining skills in both scientific and data-intensive roles, reinforcing the value of interdisciplinary expertise.

PREREQUISITES
  • Understanding of astrophysics concepts and research methodologies
  • Familiarity with data analysis techniques and tools
  • Knowledge of data mining principles and applications
  • Experience with programming languages commonly used in data science, such as Python or R
NEXT STEPS
  • Explore data analysis techniques specific to astrophysics research
  • Learn advanced data mining methods and their applications in various industries
  • Investigate programming languages and libraries relevant to data science, such as Python's Pandas and NumPy
  • Research job market trends and opportunities for PhD graduates in data science
USEFUL FOR

Graduate students in astrophysics, aspiring data scientists, and professionals looking to transition into data science from scientific backgrounds.

andymars
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I'm planning to start grad school for astrophysics next year, but am kind of put off by reading about the lack of jobs in science after graduation. It looks like data science is the current hot field to go into, even for PhDs in other fields. Would it make sense to start a PhD program fully planning on taking the data analysis skills you learn and running with them after graduating? Would it be that hard to learn the additional necessary skills on the side as I go?
I'm planning on going into astro because it really is something where I feel like my life would be incomplete if I didn't do it. I'd like to learn the data analysis skills working on something I already know I love.
 
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andymars said:
I'm planning to start grad school for astrophysics next year, but am kind of put off by reading about the lack of jobs in science after graduation. It looks like data science is the current hot field to go into, even for PhDs in other fields. Would it make sense to start a PhD program fully planning on taking the data analysis skills you learn and running with them after graduating? Would it be that hard to learn the additional necessary skills on the side as I go?
I'm planning on going into astro because it really is something where I feel like my life would be incomplete if I didn't do it. I'd like to learn the data analysis skills working on something I already know I love.

This plan will likely work. Since earning my PhD, I've been offered several jobs in unrelated data science fields.

Those jobs can pay a lot and be rewarding in the short term, but I found that they tend to get stale and boring after a few years doing the same thing. I've gotten to work for some great companies and with some great people, though.
 
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Thanks for the reply. That's encouraging. Mind if I ask what kinds of projects you've gotten to work on?
 
andymars said:
Thanks for the reply. That's encouraging. Mind if I ask what kinds of projects you've gotten to work on?

I've turned down most of the purer data science jobs. I was an RF test engineer for Cisco Systems for 7 years. This was a data intensive job, because the test results for each and every unit manufactured had to be recorded, stored, and analyzed to retain records and to determine how new parts were impacting performance. The data mining skill has been useful in a number of science projects since those days.
 

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