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

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

Research Scientist (Computer Science)

@ Nanyang Technological University | NTU Main Campus, Singapore

Intern - Sales Data Management

@ Deliveroo | Dubai, UAE (Main Office)