SUMMARY OF DUTIES
Reporting to the Director, Epidemiology & Wellness, the Data Scientist - PH works to develop, plan and implement plans to support the expansion and development of technology and open source initiatives within Hamilton Public Health. The position will be responsible for planning and implementing initiatives to support the use of future technology to increase program efficiency. The Data Scientist - PH is expected to stay current with the latest data science techniques, and industry trends. The incumbent will develop machine learning, automation or AI models (such as classification, regression, clustering, or deep learning models) to build predictive model for health trends. The Data Scientist - PH will be expected to work collaboratively within the City’s structure with Corporate and PHS Information Technology partners, to architect infrastructure to support PHS with the development and implementation of machine learning algorithms and statistical models to identify patterns, trends, and insights and strengthen data governance.
The Data Scientist – PH provides staff leadership on multi-disciplinary project teams aimed at advancing use of technology within the organization. Works collaboratively with Hamilton Public Health’ Senior Management team in the development of foundational information technology strategy, multi-year business plans and Public
Health Services priority setting. Develops, recommends, and provides professional advice with respect to policy, process management, business improvement.
The incumbent will have a demonstrated record of strong leadership and guidance, political acuity, strategic planning and technical competence, customer focus, project management, business planning, business process mapping, financial management, team building, change management, self-motivation and commitment to results and continuous improvement. The Data Scientist – PH communicates findings, model results, and recommendations to business teams or clients. The position will work closely with analysts, data engineers, product managers, and other stakeholders to ensure that AI models are successfully integrated into public health service delivery.
