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Data Scientist (undo)
Chartered Professional Accountants of AB
- Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Background in financial services, telecommunications or utilities favourable (not essential).
- Build and create advanced machine learning algorithms such as…
- Hands-on development experience working with version control systems (we use Git) and Big Data and Cloud platforms (Hadoop, Spark, Amazon Web Services (AWS),…
- Experience working with Software as a Service and/or enterprise products.
- Advanced in-depth specialization in mathematical analysis methods, machine learning,…
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision…
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