Search jobs > Toronto, ON > Sessional lecturer
Date Posted : 10 / 16 / 2024
Req ID : 40202
Faculty / Division : Faculty of Applied Science & Engineering
Department : Dept of Mechanical & Industrial Eng
Campus : St. George (Downtown Toronto)
Description :
Description : This course covers Big Data fundamentals including an overview of Hadoop MapReduce and Spark. Covers Cloud fundamentals and Big Data Analytics on Cloud-based platforms including an introduction to a specific Cloud platform such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform along with common practices for this platform.
Covers Cloud technologies to store and process structured, unstructured and semi-structured data. Covers Cloud-based implementation of Real-time Analytics and Machine Learning.
Estimated course enrolment : TBD
Estimated TA support : TBD
Class schedule : TBD
Sessional dates of appointment : January 2025 April 2025
Salary : $15,000 (per half course inclusive of vacation pay) per section. Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Minimum qualifications : Applicants should have a strong record of presenting lectures or acting as a teaching assistant.
Manager, Data Science & Pricing Analytics
The Data Science and Analytics team will contribute to building a data-driven decision making culture across all lines of business with thought leadership through analytics. The Data Science team within Tangerine Analytics supports the revenue and volume growth for each of the product business line ...
Sr. Manager, Data Science
Manager, Data Science will join the Data Insights & Monetization leadership team to enable the organization with industry-leading data science capabilities to optimize the customer experience. Act as the Data Science and Machine Learning subject matter expert with a deep understanding of models/algo...
Data Analyst, Platform Excellence Ops Analytics
Within the PEO Analytics team, you will play a pivotal role in leveraging operational performance data to diagnose fulfillment quality gaps and provide data-driven recommendations to address these gaps and improve our products and processes. The analytics team focuses on identifying, understanding, ...
Manager, Data Platform Management Analytics - Cid&a
The Manager, Data Platform Management Analytics working with Data Office, technology partners and platform users will be responsible for contributing to the execution of Data Platform Management processes, working on projects with special focus on platform analytics and telemetry. Conduct source met...
Sessional Lecturer (Lab Coordinator) - CHM151Y1 - Chemistry: The Molecular Science
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12. The Department of Chemistry requires a sessional lecturer to coordinate the in-person laboratory experiments in the areas of inorganic and ...
Reference Data Mgr., Core Data Management, Deloitte Global Core Digital, Data, Analytics & Innov.
Experience in master data governance strategy, processes, operations, and leading practices (data governance, data modeling, data quality, data lineage, master data management, metadata management, data analytics etc. Develop a Deloitte reference data roadmap to: Engage the business in reducing the ...
Senior Specialist, IT Solutions - HR Data Analytics
Collect, combine and analyze datasets and metrics from a variety of HR/Talent data sources to detect underlying trends that build the foundations for predictive people analytics. Bachelor's degree in Computer Science, Data Science or related field. Understanding of data analytics and reporting. We a...
Data Science Lead
Master’s degree in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field. Experience with big data technologies (Hadoop, Spark) and data processing tools. Provide technical leadership and direction to the data science team. Proven track record of leading data scie...
Data & Analytics - Senior Analytics Engineer/Analytics Engineer
Proven skills, education, and/or applicable certifications in: Excellent SQL skills with the ability to create efficient & tune data modelsStrong business modelling skills: going from expressed requirements to an actual data modelVaried design options of reshaping data tablesModern cloud data platfo...
Cloud Data Engineers
Must have working knowledge in designing and implementing data pipelines on any of the cloud providers (AWS is preferred). Perform data cleansing, data validation etc. Must be able to work with large volumes of data coming from various sources. AWS services like glue, glue crawlers, lambda, red shif...