April 24, 2019 technical talk: Understanding the Transition of Data Scientist from Academia to Industry
Technical talk by Shopify data scientists entitled "Understanding the Transition of Data Scientist from Academia to Industry", held at the University of Ottawa on April 24, 2019
Date and Time
Location
Hosts
Registration
- Date: 24 Apr 2019
- Time: 10:30 PM UTC to 12:30 AM UTC
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- Colonel By Hall (CBY)
- 161 Louis-Pasteur Private
- Ottawa, Ontario
- Canada K1N 6N5
- Building: Colonel By (CBY)
- Room Number: CBY 707
- Contact Event Host
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tmanc030@uottawa.ca
ssing186@uottawa.ca
- Co-sponsored by University of Ottawa's Electronic Business Technologies Student Association (EBTSA) and Computer Science Graduate Student Association (CSGSA)
- Starts 11 April 2019 01:11 PM UTC
- Ends 24 April 2019 01:11 PM UTC
- No Admission Charge
Speakers
Chris Bildfell of Shopify Inc
Understanding the Transition of Data Scientist from Academia to Industry
Are you an aspiring data scientist and interested in looking at the real-life challenges at a data scientist job? Come join us to have a discussion with some of the leading experts from the industry.
What makes a good data scientist? Someone who can lead all the phases of a data science project – phases include getting the context of the problem, understanding the data, deep diving into it, understanding implementations and coding shortcomings, figuring out the right set of algorithms to use, coding those algorithms, performance of those algorithms from an engineering and a data science perspective and optimization.
Biography:
Chris is a data team lead with Shopify Core and brings considerable experience coaching and mentoring data teams.
Email:
Address:150 Elgin St, , Ottawa, Ontario, Canada, K1P 1L4
Ali Wytsma of Shopify Inc.
Understanding the Transition of Data Scientist from Academia to Industry
Are you an aspiring data scientist and interested in looking at the real-life challenges at a data scientist job? Come join us to have a discussion with some of the leading experts from the industry.
What makes a good data scientist? Someone who can lead all the phases of a data science project – phases include getting the context of the problem, understanding the data, deep diving into it, understanding implementations and coding shortcomings, figuring out the right set of algorithms to use, coding those algorithms, performance of those algorithms from an engineering and a data science perspective and optimization.
Biography:
Ali is a senior data scientist with Shopify Inc. She has been instrumental in several data science initiatives at the organization.
Email:
Address:150 Elgin St, , Ottawa, Ontario, Canada, K1P 1L4
Agenda
6:30 – 6:45 PM Pizza/drinks and networking
6:45 – 7:30 PM Technical talk
7:30 – 7:45 PM Q&A / networking