Row 6016

Row ID: 6016 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 6016 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Let me start out by setting some context first. I will be graduating with a Master’s degree this year from a name brand school. I have an offer to join Capital One as a Data Scientist. I went into grad school pretty much straight out of undergrad, and I don’t have any full-time experience of note going into this.

I have some questions/thoughts, which I’d love to get some opinions on.

1. I have been told that the role would involve modeling work and revolve around ML. Now, it’s a bank, so I’m fairly sure it’s not going to be some cutting-edge deep learning work. Most likely regressions and random forests and such, even if that? How much will this affect future opportunities going forward? Or am I just overthinking?

2. Considering it’s a bank and not exactly a tech company, am I fucked in terms of jumping to a proper tech shop a little later down the line? How favorably is C1 seen as a name on the resume in data science in particular but also within tech in general? Any insights/perspectives would be appreciated, I have absolutely no clue.

I don’t really have any other offers. A lot of fellow students I know are compromising and taking up SWE roles because they’re unable to land DS/ML roles. Others are still looking for just any offers at all. We all know the state of the job market.

So, given all of the above, my hope is that a DS title at a fairly well-known financial services company will give me enough of a jump pad to move on to other places later. Even if this is not true, I don’t have much of an option, but I’d like some second opinions anyway. I’m too close to this to see any of it objectively.

Thanks in advance!

FieldValue
text Let me start out by setting some context first. I will be graduating with a Master’s degree this year from a name brand school. I have an offer to join Capital One as a Data Scientist. I went into grad school pretty much straight out of undergrad, and I don’t have any full-time experience of note going into this. I have some questions/thoughts, which I’d love to get some opinions on. 1. I have been told that the role would involve modeling work and revolve around ML. Now, it’s a bank, so I’m…
label r/datascience
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datetime 2024-05-06
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Raw Record

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  "text": "Let me start out by setting some context first. I will be graduating with a Master’s degree this year from a name brand school. I have an offer to join Capital One as a Data Scientist. I went into grad school pretty much straight out of undergrad, and I don’t have any full-time experience of note going into this. \n\nI have some questions/thoughts, which I’d love to get some opinions on. \n\n1. I have been told that the role would involve modeling work and revolve around ML. Now, it’s a bank, so I’m fairly sure it’s not going to be some cutting-edge deep learning work. Most likely regressions and random forests and such, even if that? How much will this affect future opportunities going forward? Or am I just overthinking?\n\n2. Considering it’s a bank and not exactly a tech company, am I fucked in terms of jumping to a proper tech shop a little later down the line? How favorably is C1 seen as a name on the resume in data science in particular but also within tech in general? Any insights/perspectives would be appreciated, I have absolutely no clue.\n\nI don’t really have any other offers. A lot of fellow students I know are compromising and taking up SWE roles because they’re unable to land DS/ML roles. Others are still looking for just any offers at all. We all know the state of the job market. \n\nSo, given all of the above, my hope is that a DS title at a fairly well-known financial services company will give me enough of a jump pad to move on to other places later. Even if this is not true, I don’t have much of an option, but I’d like some second opinions anyway. I’m too close to this to see any of it objectively. \n\nThanks in advance!\n",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-06",
  "username_encoded": "Z0FBQUFBQm5LakwyemlWMThtYWo2THpJaklyUkJock95cGdSWHJYT3A1Mi1lbXllOUdGSTk3c0o1akhIX3Zldll0SkZkc3BiNWxSOUFlUXlUWmd4dmRDSUxXRG9JOVdlOGc9PQ==",
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}
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