Women in Data Science Scholarship

Gender diversity in tech and data science is still lacking. As the chart to the right and other research shows women still represent a low percentage of workers in the data science field. Many factors have been cited as contributing to this, one of which is unconscious bias on the part of male hiring managers who have historically dominated the tech and data science sectors. Bias in general is a key driver of the lack of diversity in tech, including data science, data engineering and data analytics fields. The winners of our Data Challenge in 2019 were both women with impressive backgrounds and career goals. These young women also had access to a stellar education in data science. We’d therefore like to support another young woman in her pursuit of a quality education that prepares her for a career in data science. A critical benefit of QuantHub’s skill assessment platform is its potential to reduce bias in the recruitment process and therefore increase diversity in tech and analytical teams. We believe that diversity in data science teams is critical to success. We’re committed to providing employers with a skill assessment tool that enables unbiased and objective hiring processes.

How to Apply for the Women in Data Science Scholarship
Applicants will be asked to answer a series of questions and to demonstrate achievement, leadership, and initiative in the field of data science. You are also asked to submit 1 letter of reference with your application.

The deadline to submit your application is May 1, 2020. Award will be announced June 1, 2020.