Row 57834
Content Data
This page contains data entry 57834 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
For some context: I graduated from UCSD with a B.S. in Data Science in 2023. During my time at UCSD I enjoyed learning about the entire Data Scientist workflow and applied my knowledge to some interesting projects, giving me a solid foundation in the Data Scientist workflow (data cleaning/preprocessing, EDA, viz, modeling, interpretation)
Post grad: After graduating I got a job as a SWE. In my 10 months of working I’ve worked on 4 different projects (developed an internal MLOps tool, time series forecasting with sktime, backend development in Java Springboot, and most recently DevOps with GitLab)
My goal: I want to eventually become a Data Scientist or ML Engineer or go into MLOps. I’m afraid that if I stay on this DevOps project for too long I’ll pigeon hole myself into becoming a SWE and forget my DS skills.
The question: Is it worth pursuing a Master’s in Data Science or CS with a specialization in AI if I want to achieve my goal of becoming a Data Scientist? Or is my B.S. degree and SWE experience enough?
Would appreciate any feedback as I don’t really have any older Data Scientist mentors that I can ask.
| Field | Value |
|---|---|
| text | For some context: I graduated from UCSD with a B.S. in Data Science in 2023. During my time at UCSD I enjoyed learning about the entire Data Scientist workflow and applied my knowledge to some interesting projects, giving me a solid foundation in the Data Scientist workflow (data cleaning/preprocessing, EDA, viz, modeling, interpretation) Post grad: After graduating I got a job as a SWE. In my 10 months of working I’ve worked on 4 different projects (developed an internal MLOps tool, time seri… |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-23 |
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Raw Record
{
"text": "For some context: I graduated from UCSD with a B.S. in Data Science in 2023. During my time at UCSD I enjoyed learning about the entire Data Scientist workflow and applied my knowledge to some interesting projects, giving me a solid foundation in the Data Scientist workflow (data cleaning/preprocessing, EDA, viz, modeling, interpretation) \n\nPost grad: After graduating I got a job as a SWE. In my 10 months of working I’ve worked on 4 different projects (developed an internal MLOps tool, time series forecasting with sktime, backend development in Java Springboot, and most recently DevOps with GitLab)\n\nMy goal: I want to eventually become a Data Scientist or ML Engineer or go into MLOps. I’m afraid that if I stay on this DevOps project for too long I’ll pigeon hole myself into becoming a SWE and forget my DS skills.\n\nThe question: Is it worth pursuing a Master’s in Data Science or CS with a specialization in AI if I want to achieve my goal of becoming a Data Scientist? Or is my B.S. degree and SWE experience enough?\n\nWould appreciate any feedback as I don’t really have any older Data Scientist mentors that I can ask.",
"label": "r/datascience",
"dataType": "comment",
"communityName": "r/datascience",
"datetime": "2024-05-23",
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}
Entry Information
- Entry ID: 57834
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000