Article Flag: Mandatory Vaccination Please Note:
As per the current Public Health Orders (Long Term Care/Seniors Assisted Living Provincial Health Order and the Health Sector Order), as of October 26, 2021, all employees working for Providence Health Care must be fully vaccinated against COVID-19. Proof of vaccination status will be required.
Summary: Reporting to the Senior Manager, Advanced Modeling & Optimization, the Data Scientist I works as part of a team to analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using statistical, algorithmic, mining, and visual techniques. This role assists in developing machine learning (ML) predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve clinical processes and patient outcomes. The Data Scientist I supports Providence Health Care (PHC) strategic priorities by understanding the clinical, financial, and operational issues to be solved and working closely with stakeholders, clinical and technical experts, and functional teams to leverage knowledge, interpret outputs, deploy solutions, and provide actionable insights. The role also assists in developing a solid and sustainable machine learning foundation and competency for PHC.
Qualifications / Skills and Education: Education
A Masters’ Degree in Mathematics, Statistics, Computer Science, Engineering or other quantitative degree is required plus one (1) years’ experience working with large datasets and machine learning models including experience using statistical and data mining techniques, and distributed data/computing tools; writing computer code; querying databases; and using statistical computer languages, or an equivalent combination of education, training and experience.
Skills and Abilities
- Knowledge of supervised machine learning, decision trees, and logistic regression.
- Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis.
- Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL.
- Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc.
- Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL).
- Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption
- Demonstrated ability to use Azure/AWS cloud resources.
- Demonstrated skills in using data visualization tools (such as Tableau, Power BI, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration.
- Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics.
- Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building.
- Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing health care, to identify new ways to leverage our data, and to direct efforts in the right direction.
Duties and Responsibilities: 1. Designs, builds and implements data science and machine learning models by working as part of the Advanced Modeling & Optimization team and with clinical management and staff, project/program managers, and members of the health informatics team. Identify patterns, trends, and opportunities to assist in making predictions or reducing workload that will have a significant impact across various clinical domains within PHC.
3. Works as part of the Advanced Modeling & Optimization team to use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models.
6. Works with other members of the Advanced Modeling & Optimization team to assist with recommendations to management regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of ML systems.
7. Works closely with clinical and management teams across PHC to strategize, develop, and implement artificial intelligence (AI) products that translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies, and process improvements.
8. Identifies, enga
