Depending on the company, data scientists might work in more research-oriented teams, while ML engineers are embedded in software development groups. For women in tech, finding inclusive environments that support diversity in both research and engineering teams is key to long-term success and job satisfaction.

Depending on the company, data scientists might work in more research-oriented teams, while ML engineers are embedded in software development groups. For women in tech, finding inclusive environments that support diversity in both research and engineering teams is key to long-term success and job satisfaction.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.