May 21, 2022, 2:17 p.m. | /u/canadaisaniceplace

Data Science www.reddit.com

I recently started working in a data science and analytics team as an analyst. Several people in management have mentioned that some models can be overly complex and the simple solution is often what is preferable.

In other words a timely meaningful incremental improvement, not getting into the weeds of ML models and extended Development and training cycles.

They also identified that we have to find the right problem statement before attempting to use the data to find a way …

data datascience solution

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Social Insights & Data Analyst (Freelance)

@ Media.Monks | Jakarta

Cloud Data Engineer

@ Arkatechture | Portland, ME, USA