Career stories: The math-music connection in data science

What this post added

The author describes experimenting with sampling training data for feed recommendation algorithms, working with datasets of 500 million rows and using big data technologies like Spark and Hadoop to achieve business metric gains. Additionally, the post touches upon on-call responsibilities for the LinkedIn feed worldwide, involving immediate problem-solving for data generation pipelines to ensure member experience.