In the past three years, we have held over a hundred meetups with a variety of topics in the Canadian data science job market trying to help people understand the market and land their dream jobs. We have taught hundreds of data science enthusiasts SQL, Python, Machine Learning, Big data and all the other skills required to become a data scientist. However, we found out there are many other factors may avoid you from getting your dream offers.
WeCloudData is going to hold a series of meetups on how to land a data scientist job in Canada. The topics will cover what is a data scientist job, data scientist job market, how to better prepare for data scientist jobs, and so on. We have also invited hiring managers from different industries, for example, banking, telecommunication, software, and retailing to talk about what’s their expectations from a data scientist candidate.
“There’s a lot of interest in becoming a data scientist, and for good reasons: high impact, high job satisfaction, high salaries, high demand… Since this is a relatively new role and there’s no universal agreement on what a data scientist does, it’s difficult for a beginner to know where to start, and it’s easy to get overwhelmed.”
– Monica Rogati, Data Science advisor
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What you will learn:
– About data science career
– Challenges you may have in learning data science
– How to find the right learning path
– Personal experience sharing by experts
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Speaker:
Shaohua Zhang
Co-founder and Chief Instructor, WeCloudData
Shaohua Zhang is a practitioner and thought the leader in applied data science and big data technologies. He has over 11 years of experience in applied data science and has built a strong reputation for constructing high-performance data scientist teams in the past. Shaohua is currently the co-founder and CEO of WeCloudData, Canada’s leading Data Science Education Accelerator, where he works on bringing more Data Science and AI talents to the Canadian job market.
Prior to co-founding WeCloudData, Shaohua worked as a senior data scientist at Kik Interactive and also helped build a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM, and product teams. He is specialized in user interest graph modeling, targeted advertising, scalable location intelligence, and large-scale recommendation engines for mobile personalization.
He has also collaborated with Ryerson’s Data Science Lab on several big data research projects and helped develop the big data course at Ryerson University in 2015, where he trained over 150 professionals on big data technologies. He is a Data Growth Coach at Communitech and the lead facilitator of the Communitech Academy Data Science Fundamentals Bootcamp.
Topic: [Webinar] How to accelerate data science learning for career switch
Time: Nov 20, 2019 07:00 PM America/Toronto
Join Zoom Meeting
https://zoom.us/j/164929202
Meeting ID: 164 929 202
