Row 9304

Row ID: 9304 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 9304 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have 5+ YOE as a Data Scientist. Currently a Senior at a large (non-FAANG) tech company. All of my experience has been in developing and deploying ML models. I have never had to write an ML algorithm completely from scratch to do my job or be good at my job. I've also never known any DS I've worked with or any company I've worked for to do that.

It's just not neccesry 99% of the time. The reason people learn algorithms in detail during education is so that they're comfortable understanding implementations later in their career. You do need to understand what various algorithms do and how they work. More than likely, you'll never need to write them from scratch.

If any professor is saying that, generally, you will need to do this in industry or you will be expected to demonstrate an ability to do this in interviews, then that professor does not know what they're talking about.

If I was interviewing (for a standard DS/MLE position in industry) and was asked to implement an ML algorithm from scratch, that would likely be the end of the interview because it would signal that this company had no clue how DS and ML is actually done or how it's supposed to be done in industry.

FieldValue
text I have 5+ YOE as a Data Scientist. Currently a Senior at a large (non-FAANG) tech company. All of my experience has been in developing and deploying ML models. I have never had to write an ML algorithm completely from scratch to do my job or be good at my job. I've also never known any DS I've worked with or any company I've worked for to do that. It's just not neccesry 99% of the time. The reason people learn algorithms in detail during education is so that they're comfortable understanding im…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-20
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Raw Record

{
  "text": "I have 5+ YOE as a Data Scientist. Currently a Senior at a large (non-FAANG) tech company. All of my experience has been in developing and deploying ML models. I have never had to write an ML algorithm completely from scratch to do my job or be good at my job. I've also never known any DS I've worked with or any company I've worked for to do that.\n\nIt's just not neccesry 99% of the time. The reason people learn algorithms in detail during education is so that they're comfortable understanding implementations later in their career. You do need to understand what various algorithms do and how they work. More than likely, you'll never need to write them from scratch.\n\nIf any professor is saying that, generally, you will need to do this in industry or you will be expected to demonstrate an ability to do this in interviews, then that professor does not know what they're talking about.\n\nIf I was interviewing (for a standard DS/MLE position in industry) and was asked to implement an ML algorithm from scratch, that would likely be the end of the interview because it would signal that this company had no clue how DS and ML is actually done or how it's supposed to be done in industry.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw0WlhiTHFVNEpVOWlHWVVIYmo2U3ByX0pyZ3R5ZEZoOWJOeEc1aXl3bk9yNjF1MWhJUmxSQTNjYzNGYVNJR19KUExYWld2eXM3X1pTQ2hQUEhKQmo3MGc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9JRk92cEVqc1p3VVBMN21iN0k4S3E3UVZZTmk2WWRZSkp6eEtSWkpXd2dNSmVjTW82N04yNUtvcHpxR2h4UkFqUm1UZDlObE5BTktGR2VPOUstNmRIa2dvamZ1cnB1eEJGRHFOSURNVGVTSHRDTzJuTmpEUUtEaWg1ZWlKc3FwSzJWWG5GLVJwenBQSS1sdDVmMzZkeFVwdWxjeWloT01PVTVRazhkSWQwc2xrVXUwZEQ4eEx2WTZDTXNnUmpzVVI2M2g0ZDZ6MmVYaXVoZDROX0JsTGYzUT09"
}
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