Data Science vs MLE

Question

Pros and cons? Is it true that Data Science gets paid less in general?&nbsp;Context: New Grad, receiving Bachelors in Network Science and Masters in CS this May

180u1jnuGf32 · Accepted Answer

#dataengineering and #datascience has its own set of Pepsi or Coke, Android or iPhone questions.

- Bayesian or Frequentist
- Explainable model or Ensemble model
- Databricks or Snowflake
- Postgres or MongoDB
- AWS or Azure
- Python or R
- Tensorflow or PyTorch
- Airflow or Prefect
- Hive or Iceberg
- Spark or Flink
- Lambda architecture or Kappa architecture

Sure you can pick other options outside these two but you’d probably be wrong.

goob · Answer

Some more context:I was a SWE intern at Amazon 2 summers ago and MLE at Apple last summer. Imo it seemed like MLE is pretty similar to SWE just in the context of an ML system, but Data Science is a pretty different role?

altagamma · Answer

Which one are you more comfortable with pursuing? If MLE, interviews will be leetcode medium, svm, pca derivation
random forests, specific questions regarding the role and existing company scenarios/problems presented as case suidies

KWnbybfqwe642 · Answer

Generally, doesn't it depend on the company size/tier? When I was looking, the jobs seemed similar enough as a new grad

Data Science vs MLE

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