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learning about career paths from others

WISE Inspirations Network at Stanford (WINS) Speaker Series: Ellen Ochoa

Learn from other changemakers in STEM, and build your professional and academic network at WINS. The WISE Inspirations Network at Stanford (WINS) provides you the opportunity to engage with a diverse array of stand-out women in science and engineering, and connect with potential mentors, peers, and other colleagues.

The Fall 2018 WINS will feature Ellen Ochoa, PhD.

Quick Bytes: Approaching the Job Search Beyond Academia

Discuss the purpose of building networks in advance of the job search and strategies for creating effective job application materials. You will learn how to 1) make inroads into organizations before jobs open up, and 2) articulate your most relevant accomplishments to demonstrate fit with a posted job opportunity. 

Urmila Venkatesh, assistant dean, Career Education & associate director, Career Communities - PhDs & Postdocs in Social & Natural Sciences, BEAM

Women in Data Science (WiDS) Conference

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. WiDS started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with 150+ regional events worldwide; a datathon, encouraging participants to hone their skills; and a podcast, featuring leaders in the field talking about their work, and their journeys. WiDS will be held at Stanford University, at 150+ regional events hosted by WiDS Ambassadors, and available via livestream.

Eric Colson, Chief Algorithms Officer, Stitch Fix

Eric leads a team of 80+ Data Scientists who are altering fashion retailing through data science. His team is responsible for an extensive collection of algorithms that are applied to nearly every function of the company: merchandising, inventory, marketing, forecasting & demand, operations, and the styling recommender system. 

Prior to joining Stitch Fix, he was the Vice President of Data Science & Engineering at Netflix. Eric holds a B.A. in Economics, an M.S. in Information Systems, and an M.S. in Management Science & Engineering.

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