Career Tracks in Data Science and Machine Learning
Thursday April 29, 2021 12:00pm - 1:00pm (MDT) Virtual Event Registration: Here "All genders - All experience levels - All sectors" welcome!
The field of Data Science has advanced quickly over the past couple of years, and for someone who has little or no experience in the field, it’s hard to get a general understanding of how these roles differ and which core skills are actually required.
Data engineer, data analyst, and data scientist — these are job titles you’ll often hear mentioned together when people are talking about the fast-growing field of data science.
Join the AltaML team for an interactive session as they explore the different types of organizational structures that data science teams can have as well as the key roles in those teams. The first half of the event will cover organizations and their structural approach to AI and the second half will be informal breakout rooms led by AltaML team members on the different types of roles.
- Data Scientist, Led by Sara Soltaninejad ; Machine Learning Engineer, AltaML
- Data Engineer, Led by Alex Hope; Machine Learning Engineer, AltaML
- Developer, Led by Ellie Jones; Machine Learning Developer, AltaML
- Data Analysis, Led by Reuben Gazar; Data Specialist, AltaML
Jenny Lien, Machine Learning Team Lead, AltaML Applied AI Lab
Jenny is a data science professional with B.Sc. of electrical engineering from University of Calgary. She has 7 years of professional experience in the areas of machine learning, data analytics, BI reporting and product development. Jenny has previously held various analytics related roles, including Data Analyst, Reporting Analyst, RD Analyst, and Data Scientist. Currently, Jenny works as a Machine Learning Team Lead at AltaML – a community-driven, fast growing AI company in Alberta, utilizing machine learning and applied artificial intelligence to solve business problems.
GeoWomen is thrilled to be collaborating with “Women In Data YYC“, “Women in AI YYC” and the “YYC Data Society” and we strongly believe that cross industry networking opportunities is a main feature of this project. Please join in the discussion on Slack and watch for our Virtual Pub Nights to connect with like minded individuals.