Nov. 3, 2022, 1:31 p.m. | TDS Editors

Towards Data Science - Medium towardsdatascience.com

If you look closely enough at any strict category, sooner or later it starts to fall apart. The common division of data scientists’ skills into “hard” and “soft” is no exception. Code documentation: a soft skill or a hard one? What about creating a sharp-looking chart, or setting up a streamlined Python environment?

This week, we’ve rounded up recent articles on skills that data scientists often think of as “soft” despite their central role in any successful career. These posts …

careers data data science science skills soft skills tds-features the-variable towards-data-science

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst - Associate

@ JPMorgan Chase & Co. | Mumbai, Maharashtra, India

Staff Data Engineer (Data Platform)

@ Coupang | Seoul, South Korea

AI/ML Engineering Research Internship

@ Keysight Technologies | Santa Rosa, CA, United States

Sr. Director, Head of Data Management and Reporting Execution

@ Biogen | Cambridge, MA, United States

Manager, Marketing - Audience Intelligence (Senior Data Analyst)

@ Delivery Hero | Singapore, Singapore