Join Women in Analytics and WiMLDS Columbus for a free virtual event!

This session will cover:
– How recruiters hire for data science roles
– How to get noticed by recruiters
– How to evaluate data science job descriptions
– How to prepare for a data science interview
– Key skills and how to highlight an academic / industry background

Catherine Reynolds – Data Science Recruiter, Upstart
– Catherine Reynolds leads data science recruiting for Upstart, a leading AI lending platform partnering with banks to expand access to affordable credit. Forbes recently ranked Upstart #12 on its list of “most promising AI companies in America.” Before joining Upstart, Catherine identified a market need and launched a recruiting practice to help companies find talent in the then-emerging disciplines of analytics and data science. Her 10 yearsโ€™ experience of recruiting for data science and analytics skill sets gives her a unique perspective of data-focused hiring across markets and industries. Catherine graduated with a BA from Georgetown College and an MA in journalism from The Ohio State University. In her spare time, Catherine enjoys cycling and traveling; her favorite adventures combine both.

Jen Heider – Insights Analyst, Huntington National Bank
– Jen Heider is part of the Data & Analytics team at Huntington National Bank. After graduating as the pilot student for the OSU BS Industrial and Systems Engineering Data and Analytics track, she began her career as a data science consultant at IBM, where she built her data science skills on projects across multiple industries. She then went on to work as a Data Scientist at Express. Jen is currently pursuing her MS in the ISE Data and Analytics track at OSU part-time while working for Huntington. In her free time, Jen loves reading, running, and outdoor activities of all kinds.

Event Partners:
Women in Analytics’ mission is to provide visibility to the women making an impact in the analytics space and provide a platform for women to lead the conversations around the advancements of analytical research, development, and applications.

WiMLDS Columbus’ mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. WiMLDS creates opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning. Events include technical workshops, networking events, and hackathons. WiMLDS is inclusive to anyone who supports our cause regardless of gender identity or technical background.

All sessions of the Bytes & Insights event series are open to all genders. All participants must abide by the Women in Analytics Code of Conduct.