Dr. Felicity Splatt works in the Analytical Intelligence (Management Consulting) at PwC, and has previously worked for the Australian Taxation Office, the Australian Transaction Reports and Analysis Centre (AUSTRAC), and the Australian Bureau of Statistics. She has worked in analytics and data science for 8 years, using data to solve business problems in government, financial services, retail, telecommunications, energy and ecommerce. She has a PhD in experimental physics from the University of Innsbruck (Austria). She is passionate about the possibilities that data science has to solve many important problems, and encouraging and empowering women in science, technology, engineering and maths, including, of course, data science.
Data Scientist Imposter Syndrome
We’ve often heard that data scientist is the “sexiest job of the 21st century”, but how many of us feel like sexy imposters? With data science a multi-disciplinary and rapidly growing field, and no single clearly defined description of the requirements of a “data scientist”, how do we as data scientists feel confident in our roles? I’ll talk about why I think data scientists can be more susceptible to suffering from imposter syndrome, describe with examples from my professional career what I think are the most important skills for a data scientist, and talk about ways we might mitigate feelings of imposter syndrome.