<p>Join PyLadies, R-Ladies, Women in Data Science (WiDS), and Insight Data Science to learn about transitioning to a career in data science and the variety of roles that full under the title 'data scientist'!</p> <p>To help us plan, please RSVP directly on the WiDS meetup page:<br/><a href="http://meetu.ps/e/GBzH9/GRKLB/f" class="linkified">http://meetu.ps/e/GBzH9/GRKLB/f</a></p> <p>We'll start with lightning talks from panelists on what their job as a data scientist entails, which will be followed by a panel discussion focused on how the panelists moved into the field and their experiences in it. There will, of course, be plenty of time for questions from attendees!</p> <p>Panelists include:<br/>- Lisa Qian<br/>Data Science Manager at Airbnb, transitioned to DS 6 yrs ago<br/><a href="https://www.linkedin.com/in/lisa-qian-98b04326/" class="linkified">https://www.linkedin.com/in/lisa-qian-98b04326/</a><br/>- Annette Taberner-Miller<br/>Data Science Manager at Indeed, transitioned to DS 8 yrs ago<br/><a href="https://www.linkedin.com/in/annette-taberner-miller/" class="linkified">https://www.linkedin.com/in/annette-taberner-miller/</a><br/>- Susan Fung<br/>Sr. Data Analyst at Liberty Mutual, transitioned to DS 1 yrs ago<br/><a href="https://www.linkedin.com/in/susanfung/" class="linkified">https://www.linkedin.com/in/susanfung/</a><br/>- Nupur Mehta<br/>Data Scientist II at Redfin, transitioned to DS 2 yrs ago<br/><a href="https://www.linkedin.com/in/nupurmehta4/" class="linkified">https://www.linkedin.com/in/nupurmehta4/</a><br/>- Gina Schmalzle<br/>Senior Data Scientist at Nordstrom, transitioned to DS 4 yrs ago<br/><a href="https://www.linkedin.com/in/ginaschmalzle/" class="linkified">https://www.linkedin.com/in/ginaschmalzle/</a><br/>- Heather Nolis<br/>Machine Learning Engineer at T-Mobile, transitioned to DS 1 yr ago<br/><a href="https://www.linkedin.com/in/heatherwensler/" class="linkified">https://www.linkedin.com/in/heatherwensler/</a></p> <p>Many thanks to Insight Data Science for sponsoring this event!</p> <p>Schedule:<br/>6:15-6:45: arrive, pizza, drinks<br/>6:45-7:15: lightning talks on what data scientist jobs can include<br/>7:15-8: panel<br/>8-8:30: networking</p>