Considering a career change into Data Science and want to better understand the road ahead of you? Come join us as we bring in a panel of Data Scientists and explore their backgrounds, trainings, their typical day, and problems they're solving.
Making a career change to a field as new and evolving like Data Science comes with a significant amount of uncertainty, questions, and confusion. We’re bringing together an incredible panel of data scientists with diverse backgrounds to give you a better idea of what it takes to succeed in this demanding career field.
**Make sure to register for this free event on Eventbrite: https://www.eventbrite.com/e/day-in-the-life-of-a-data-scientist-panel-discussion-tickets-46082427782 **
Meet our Panelists:
Christine Buckler - Data Scientist at Nordstrom
Christine is on the digital data science team at Nordstrom where they are revolutionizing fashion retail. The team aims to continuously innovate and provide the best customer experience across all shopping channels by unlocking the power of data and analytics.
As a data scientist, Christine develops highly accurate and scalable machine learning algorithms to power product search and personalized recommendation systems in an eCommerce environment.
Christine has a B.S. in mechanical engineering from The Ohio State University and before her immersive journey at Galvanize, she worked at Anheuser-Busch, Ball Corporation and University of Colorado. Christine enjoys spending time with her husband, 2 cats, playing ukulele, reading and traveling to new places.
Ben Doremus - Data Operations Analyst and Data Scientist at Empiric Health
Ben had a diverse background before embarking on his Data Science journey with Galvanize. Though he received a degree in Electrical and Computer Engineering, right out of college he went into teaching. After a decade in public schools, both in the classroom and running their IT systems, he decided to get back in touch with his more technical roots through the Galvanize Data Science Immersive.
Now a Data Operations Analyst and Data Scientist at Empiric Health, he spends his days using data to improve the Healthcare system. From cleaning and pipelines to NLP and segmentation, the job requires a broad set of skills, which keeps every day interesting and exciting!
Matt Johnson - Ibotta
Matt is a Data Scientist at Ibotta working on recommender systems and has a B.S. and M.S. in Applied Physics from George Mason University. He has previously worked as a Data Scientist for Georgetown University working on biomedical problems (https://icbi.georgetown.edu/), and at Haystax Technology where he worked on large scale Bayesian networks for insider threat (https://haystax.com/constellation-for-insider-threat/). He enjoys learning new machine learning algorithms, hiking, and spending time with his wife and dog. His homepage is at http://mattshomepage.com/.
Michael Melcher - Data Scientist at Comcast
Michael is a data scientist on the video advanced engineering team at Comcast where they investigate emerging video and machine learning technologies.
In addition to his research, Michael collaborates with various teams at Comcast on various tasks such as data engineering, statistical analysis, and implementing machine learning algorithms.
Michael has a B.S. in Physics from Louisiana Tech University and a M.S. in Mathematics from California State University San Marcos. When not working, Michael enjoys obsessing over baseball, taking his dog for hikes and playing boardgames.