Data Scientist, Analytics & Business Intelligence, Information Technology

Please Note: If you are a current Oak Valley Health employee, apply to this job via the internal Workday application.

Land acknowledgement:

Oak Valley Health is honoured to provide care on the traditional and treaty territory of the Anishinaabeg, and acknowledge our closest Indigenous communities, the Chippewas of Georgina Island and the Mississaugas of Scugog Island. The land is encompassed within Treaty 13, Treaty 20, and the Williams Treaty.

Today, this area is home to many diverse Indigenous Peoples, and we acknowledge the health disparities and barriers Indigenous Peoples face in accessing care. To support true healing, we are committed to understanding these challenges, learning from Indigenous knowledge, and taking action together to improve safe and equitable health care for current and future generations.

Who you are

• You encompass Oak Valley Health’s core values and live the words of respect, trust, commitment, compassion and courage
• You are a patient and/or client centered individual who performs at an exemplary standard
• You are a team player with excellent communication, critical thinking and prioritization skills

What we are looking for:

The data scientist will partner with business analysts and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects. The data scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. They will develop new AI tools and lead ML/AI projects. Further, they will help design and implement new data infrastructure related to ML/AI at the organization to meet evolving business needs. Ensure compliance with healthcare data privacy and security standards. Perform in high autonomy in driving projects end-to-end, from problem definition through implementation, with minimal supervision. Support quality improvement, population health, and research initiatives.

Reporting to the Manager, Analytics & Business Intelligence, and working directly with other members of the Business Intelligence and Decision Support team and/or individuals at various levels within the organization.

Responsibilities

• Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
• Performs large-scale experimentation and builds data-driven models to answer business questions
• Proactively mines data sources to identify trends and patterns and generates insights for business units and senior leadership
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets
• Research and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed stochastic neighbor embedding (t-SNE), or principal components analysis (PCA) machine learning
• Designs and conduct data analysis with the highest standard of rigor and scientific accuracy; this includes study design, research, methodology, algorithms, evaluation and statistical modeling
• Maintain documentation for all the activities listed above.
• Support clinical and non-clinical areas in the development of KPIs, dashboards, data visualizations, and reports (routine and ad hoc) for the purposes of monitoring and optimizing organization performance on quality, safety, operations, and planning
• Support reporting to various external reporting agencies including Ontario Health, and the Ministry of Health and Long-term Care
• Conduct data quality investigations and engage in continuous data quality improvements
• Provide guidance, support, and coaching to the Decision Support and Business Intelligence Team.
• Able to mentor and coach junior analysts or students, contributing to team capability-building and knowledge sharing.

What you bring to the role:

Education

• Completion of a recognized University degree in Computer Science, Data Science, Statistics or equivalent combination of education and experience; Master degree in Computer Science, Data Science, Statistics is preferred

Experience

• 3+ years of project experience in successfully launching, planning and executing data science projects, including statistical analysis, data engineering, and data visualization

Skills and Initiative:

• Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
• Strong proficiency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
• Expertise in BI tools such as Power BI, Tableau, or