Nov. 8, 2022, 7:47 p.m. | Nick Freund

Towards Data Science - Medium towardsdatascience.com

At this point, it is a generally well-accepted fact that building an in-house data team is a good business move. As more leaders are starting to realize every day, investing in data & analytics teams can not only help to measure a business’ progress and success, it can more broadly harness data to help leadership navigate rapid change and identify new opportunities for growth and operational efficiency.

And yet, many data professionals are hamstrung by the structure of their organizations. …

breaking data development-workflow notes-from-industry success team team-management workflow

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A