4 Ways to Excel as a Female Data Scientist - InformationWeek

From analyzing large volumes of data to building contact tracing applications or using machine learning algorithms to discover effective treatments for COVID-19 quickly, the demand for data scientists with diverse skill sets and backgrounds has soared. While Glassdoor has ranked data science as one of the Top 10 Best Jobs in America every year since 2015, the field, unfortunately, remains dominated by men and often fails to attract female talent, with only 16% of women making up the data science workforce. It can be hard for women who are just starting out to know what their career paths should look like, especially during challenging times. Having spent the past eight years working in enterprise data science within the science, government and enterprise sectors, I've learned what it takes to stand out in a male-dominated field and how critical it is to show the impact of your work, understand which skills are important to hone and how to overcome imposter syndrome. Here are the four things I wish I knew before getting into the field of data science.