Job Description :Our client is looking for a Machiner Learning Specialist to join their team.
Must Have Primary Skills :
- Bachelor degree in Computer Science or related field of study equivalencies will be considered.
- Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL
- Experience in building analytical and quantitative analysis models.
- Experience in preparing data for prescriptive and predictive modelling
- Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling).
- 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.
Nice To Have Secondary Skills :
- 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.
- Experience combining raw data from a variety of data sources within and across domains.
- Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem.Experience preparing visualizations, dashboards, and analytical models
- Experience with and understanding of statistical and data mining techniques to address key business issues.
- Experience working with large government datasets.
Proven Experience In :Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. The MLS creates tools, models, and analysis to apply artificial intelligence for better government policy and services. The MLS will work with cross-functional project teams to apply machine learning (ML).
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Please send your resume to
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