Data Scientist

Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. 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. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics.

• Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SOL
• Experience building and deploying end to end analytical or Al enabled applications, from data
• ingestion and modeling through to user facing solutions using modern web frameworks (e.g.,
• React.js, Vue.js, or similar), enabling intuitive consumption of data and insights.
• Experience in building analytical and quantitative analysis models.
• Experience with projects that involved data science data engineering and i" or Al.
• 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 and understanding of statistical and data mining techniques to address key business issues.

Nice to Have

• 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 dealing with clients and explaining complex data principles in a thoughtful manner.
• Experience designing and maintaining data pipelines, data analytics workflows, or data product workflows.
• Experience in understanding complex businessesquestions and framing the right analytical question to solve a business problem.
• Experience preparing visualizations, dashboards, and analytical models.
• Experience utilizing big data technologies (e.g.,Hadoop, Spark) or cloud platforms (e.g. Azure, Snowflake)
• Experience working with large government datasets.