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Data Science Career Panel Discussion - What Hiring Managers Want From You

WeCloudData

Friday, 19 January 2018 from 7:00 PM to 9:30 PM (EST)

Data Science Career Panel Discussion - What Hiring...

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RSVP Sold Out 5 Feb 2018 Free  

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There’s a lot of interest in becoming a data scientist, and for good reasons: high impact, high job satisfaction, high salaries, high demand... Data Scientist is even considered as one of the sexiest jobs in the 21st century. 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. 

Join us for a Data Science Panel Discussion where expert data scientists and hiring managers will share their experience of solving real-world data science challenges and their expectations from a data scientist candidate. 




Panel Discussion Topics

- Different types of data science jobs

- Data Science job trends in Toronto

- Specific data challenges the panelists to tackle every day in retail, banking, telecom, and startups

- A day in the life of a data scientist

- Hiring manager expectations from a data scientist candidate

- How to get prepared for data science jobs

- Advice to those who want to get into data science

 

Speakers:

Faraz Rasheed | Advanced Analytics & AI Architect, Microsoft
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Faraz is currently a big data and AI architect at Microsoft Canada helping enterprises in cloud-based data science solutions. Prior to joining Microsoft, Faraz built and led the Big Data Analytics team at TD Bank, and also led the Data Sciences team at BlackBerry. Faraz holds a Ph.D. in Computer Science with a focus on Machine Learning

David Cui | Senior Data Scientist, Amazon
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David is currently a Senior Data Scientist on the forecasting team at Amazon. Prior to joining Amazon, he was the Senior Manager of Marketing Analytics team at RBC, where he focused on statistical analysis, AB testing, and campaign optimization. David has a passion for teaching and he's coached more than 500 students in math and many of his students made into the Canadian International Physics Olympiads team and won contest prizes

Owen Yun | Data Science Manager, Canadian Tire
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Owen Yun as Manager, Data Science has played a key role in the advancement of analytical capabilities. Past advanced models have step-changed the business’s ability to isolate and quantify the true impact of individual drivers of consumer purchase behavior with retailers. He focuses on developing our personalization capabilities, with a specific focus on product recommendation, audience identification and targeting and direct marketing optimization

Clement Chau | Manager, Advanced Analytics & Modeling, Rogers
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Clement is currently working at Rogers as the Manager of Modeling and Analytics team. His job is to help Rogers better understand its customer base and improve campaign targeting by leveraging propensity models to save the company's targeting cost. That implies various tasks from planning, building, scoring, and validating models, reporting & analytics, all the way to working with various data owners (including himself) to make sure all necessary data is available at the model scoring time, and working with business partners to promote the proper use of models

 

Schedule:

7:00 - Check-in and Networking Mingle

7:15 - Data Science Panel Discussion

9:00 - Q & A




Have questions about Data Science Career Panel Discussion - What Hiring Managers Want From You? Contact WeCloudData

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When & Where


WeCloudData
80 Bloor Street West
#Suite 500
Toronto, ON M5S 2V1
Canada

Friday, 19 January 2018 from 7:00 PM to 9:30 PM (EST)


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Organizer

WeCloudData

With our big data experts, WeCloudData prepares you for the next generation of data science challenges and offers everything you need to succeed in career transformation. WeCloudData is the leading data science education and career service provider in Canada. We are the bridge between devoted and passionate data scientists and companies who need help with challenging business problems in data analytics.

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Data Science Career Panel Discussion - What Hiring Managers Want From You
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