Row 5841

Row ID: 5841 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 5841 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm in a senior DS role right now. This is my first data job after being a professor for a few years post PhD. I'm a modeler, that's my main focus on the job, which I absolutely love.

However, the client (I'm a consultant) uses SAS miner and guide, and does not use Python at all. Partially because they always have and partially for security concerns. As I build my models, realistically the biggest issue is making sure I do things that our (imo outdated) tech stack can handle. I'd love to do a sexy GNN network based model for example but right now we struggle to execute a random forest.

The experience I'm getting is great, I'll be about to make some solid quantifiable improvements, and I'm not looking to move jobs in the next <3 years. However, I worry that if I go on the market in the future, my lack of experience putting Python into prod will be an issue.

Hopefully at that point I'll have some promotions under my belt and will be moreso managing a team than running code. If I'm in the future applying for more senior positions, will they care so much about what tools I've been using versus my experience leading a team/communicating with the business, etc?

FieldValue
text I'm in a senior DS role right now. This is my first data job after being a professor for a few years post PhD. I'm a modeler, that's my main focus on the job, which I absolutely love. However, the client (I'm a consultant) uses SAS miner and guide, and does not use Python at all. Partially because they always have and partially for security concerns. As I build my models, realistically the biggest issue is making sure I do things that our (imo outdated) tech stack can handle. I'd love to do a …
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-04
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Raw Record

{
  "text": "I'm in a senior DS role right now. This is my first data job after being a professor for a few years post PhD. I'm a modeler, that's my main focus on the job, which I absolutely love. \n\nHowever, the client (I'm a consultant) uses SAS miner and guide, and does not use Python at all. Partially because they always have and partially for security concerns. As I build my models, realistically the biggest issue is making sure I do things that our (imo outdated) tech stack can handle. I'd love to do a sexy GNN network based model for example but right now we struggle to execute a random forest.\n\nThe experience I'm getting is great, I'll be about to make some solid quantifiable improvements, and I'm not looking to move jobs in the next <3 years. However, I worry that if I go on the market in the future, my lack of experience putting Python into prod will be an issue.\n\nHopefully at that point I'll have some promotions under my belt and will be moreso managing a team than running code. If I'm in the future applying for more senior positions, will they care so much about what tools I've been using versus my experience leading a team/communicating with the business, etc?",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-04",
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}
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