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Operations Research Scientist
2 months ago
We are seeking an experienced Operations Research Scientist to join our team at Providence Health Care. The successful candidate will be responsible for designing, developing, and implementing cloud or on-premises analytics solutions using operations research, simulation, optimization, and applied machine learning techniques.
Key Responsibilities- Develop and lead the implementation of analytics solutions to support operational and strategic decision-making.
- Collaborate with data scientists, solution architects, and business intelligence analysts to deliver business value.
- Design, innovate, develop, and evaluate algorithms and prototypes to improve workflows and clinical decision-making.
- Participate in multi-disciplinary teams to contribute to research and development of new business models for solutions and services.
- Deliver high-quality innovations to the business with performance validated on datasets from customers and clinical collaborators.
- Work closely with other members of the Data Analytics and Health Informatics teams to develop and implement innovative solutions.
- Prepare reports and present findings and proposed solutions to clinical leaders and stakeholders.
- Develop and maintain relationships with clinical leaders and stakeholders to facilitate collaboration and effective communication.
- Support management in the development of strategies for scaling successful projects across the organization.
- Master's Degree in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, or other related technical discipline.
- At least five (5) years' experience working with databases and data analysis tools.
- Two (2) years' experience in designing, implementing, and testing analytic and/or algorithmic solutions.
- Experience in the healthcare sector is an asset.
- Demonstrated knowledge of optimization, simulation, algorithm design, and machine learning.
- Coding proficiency in Python and knowledge of data science and optimization frameworks.
- Excellent analytical and problem-solving skills.
- Strong interpersonal skills and ability to work collaboratively in an interdisciplinary environment.
- Demonstrated understanding of the Canadian health system and knowledge of common healthcare datasets.