Senior ML Engineer: AI-Driven Predictive Modeling

Bevertec; Edmonton; On-site; CAD 90,000 - 130,000; Full time

Job summary

Bevertec is seeking a data analytics professional in Canada to leverage AI/ML for data science and analytics projects. The role emphasizes translating complex business questions into analytical problems and delivering robust models and dashboards.

Ideal candidates bring 7+ years of experience with data preparation, statistical methods, and data governance, and will work with large, diverse datasets to inform strategic decisions.

Qualifications

• 7 years in AI/ML applied to data science or analytics (anomaly detection, predictive monitoring, automation).
• 7 years experience with statistical and programming languages such as R, Python, SQL.
• 7 years experience building analytical and quantitative models.
• 7 years data prep for prescriptive/predictive modelling.
• 7 years experience with complex statistical modelling methods.
• 7 years knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy.
• 6 years combining raw data from diverse sources across domains.
• 5 years framing business questions and defining the analytical problem.
• 5 years creating visualizations, dashboards, and analytical models.
• 6 years applying statistical and data mining techniques to business issues.
• 5 years working with large datasets.

Skills

AI/ML expertise

Analytical modeling

Data preparation

Prescriptive/predictive analytics

Data analytics methods

Data governance & ethics

Data integration across domains

Large datasets handling

Framing business problems

Visualization & dashboards

Tools

R

Python

SQL

Job description

Bevertec is seeking a data analytics professional in Canada to leverage AI/ML for data science and analytics projects. The role emphasizes translating complex business questions into analytical problems and delivering robust models and dashboards.

Ideal candidates bring 7+ years of experience with data preparation, statistical methods, and data governance, and will work with large, diverse datasets to inform strategic decisions.