Row 57834

Row ID: 57834 | Dataset Entry | Axioma AXP Content Repository

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.

FieldValue
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