17 Aug
|
Bevertec
|
Alberta
7 years experience with Artificial Intelligence (AI) or Machine Learning (ML) applied to data science or analytics, such as using ML for anomaly detection, predictive monitoring, or AI-assisted data transformation and automation.
7 years experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL
7 years experience in building analytical and quantitative analysis models.
7 years experience in preparing data for prescriptive and predictive modelling
7 years experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling).
7 years experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data.
6 years experience combining raw data from a variety of data sources within and across domains.
5 years experience in understanding complex businesses questions and framing the right analytical question to solve a business problem.
5 years experience preparing visualizations, dashboards, and analytical models
6 years experience with and understanding of statistical and data mining techniques to address key business issues.
5 years experience working with large datasets.
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
Only those selected for an interview will be contacted, Bevertec is committed to Employment Equity and encourages applications from all qualified candidates. In accordance with the Accessibility for Ontarians
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📌 Senior Machine Learning Engineer (Alberta)
🏢 Bevertec
📍 Alberta