Row 18165

Row ID: 18165 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 18165 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Getting back into the field after a couple years off doing personal projects, traveling, and 10 months total of contracting work.

I have a B.S. and M.S. in engineering fields (the M.S is operations research). My last two roles were Senior Data Scientist, including the contract role.

I've worked on everything from visualization to machine learning modeling and deployment on GCP, with airflow and databricks as well for pipelining, data warehousing, etc. Nothing cutting edge, but you know, what I consider to be a solid skillset for anything not PhD-level research based. In total 8 YOE.

I've been applying for about 2 weeks now, which I know is not a lot, but I want to maximize my chances. I've reached out to connects, posted on Linkedin (for the first time ever), and am applying to any jobs that fit my skillset, since I know the market is insane right now.

What worries me are the gaps- I haven't been employed in the last 7 months. While I've done a lot of productive things in that time, none are related to data science or engineering.

While I'll keep applying, my other ideas were 1. Take some courses to update my skillset (iffy about this one) 2. Build a small AI/data app, nothing world changing but to show I still got it 3. Change careers into SWE, though I imagine that I might have even less chance there lol

Any advice is appreciated! Thank you!

FieldValue
text Getting back into the field after a couple years off doing personal projects, traveling, and 10 months total of contracting work. I have a B.S. and M.S. in engineering fields (the M.S is operations research). My last two roles were Senior Data Scientist, including the contract role. I've worked on everything from visualization to machine learning modeling and deployment on GCP, with airflow and databricks as well for pipelining, data warehousing, etc. Nothing cutting edge, but you know, what …
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-21
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Raw Record

{
  "text": "Getting back into the field after a couple years off doing personal projects, traveling, and 10 months total of contracting work.\n\nI have a B.S. and M.S. in engineering fields (the M.S is operations research). My last two roles were Senior Data Scientist, including the contract role. \n\nI've worked on everything from visualization to machine learning modeling and deployment on GCP, with airflow and databricks as well for pipelining, data warehousing, etc. Nothing cutting edge, but you know, what I consider to be a solid skillset for anything not PhD-level research based. In total 8 YOE.\n\nI've been applying for about 2 weeks now, which I know is not a lot, but I want to maximize my chances. I've reached out to connects, posted on Linkedin (for the first time ever), and am applying to any jobs that fit my skillset, since I know the market is insane right now.\n\nWhat worries me are the gaps- I haven't been employed in the last 7 months. While I've done a lot of productive things in that time, none are related to data science or engineering.\n\nWhile I'll keep applying, my other ideas were\n1. Take some courses to update my skillset (iffy about this one)\n2. Build a small AI/data app, nothing world changing but to show I still got it\n3. Change careers into SWE, though I imagine that I might have even less chance there lol\n\nAny advice is appreciated! Thank you!",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-21",
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}
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