Senior Data Scientist

Reporting To: Reporting, Evaluation, and Data Integration (REDI) Manager
Shift Schedule: Days with occasional evenings
Reporting, Evaluation, and Data Integration (REDI)
Mosaic Primary Care Network (PCN) provides a wide range of primary health care services in the northeast and southeast Calgary communities in partnership with a group of family doctors. We want YOU to bring your expertise to our growing team as we continue to develop solutions to meet the needs of our local community. The Senior Data Scientist serves as the subject matter expert in study design, data science methodology, advanced analysis (complex statistical analysis, machine learning and artificial intelligence), visualization, interpretation and reporting components of evaluation, quality improvement and research projects. The Senior Data Scientist will apply an advanced breadth of knowledge in statistical modelling, machine learning, and artificial intelligence techniques to unlock new insights and value of a wide range of healthcare datasets and provide recommendations for organizational operations and clinical programs. This role will lead the practice of leveraging the REDI team and organization in the deployment of emerging techniques and tools of AI/Generative AI, ML/AutoML and other advanced analytics to support the organization’s data-driven decision-making practice.
The Senior Data Scientist works with other data scientists and evaluators from other PCNs to support pan-PCN collaborations, as required. The role may involve collaborating with Alberta Health Services, the University of Calgary and other external stakeholders for evaluation and research projects.
In collaboration and joint accountability with evaluation team members, this position has a high degree of autonomy in producing expected high-quality results. The Senior Data Scientist is expected to independently lead cross-function project teams throughout the process with minor supervision.
Development of Advanced Data and Analytics Strategy
MP, generative AI, and advanced statistical modelling for research, evaluation, and quality improvement projects.
Development of preliminary and final analytic plans to support business insights and evaluation planning. Perform detailed cohort preparation, data pipeline flow, and data dictionaries.
Uses statistical knowledge to gain insight into data variances, patterns, and trends where applicable. Work will involve the use of a variety of predictive modelling and/or simulation techniques.
Assesses data quality; identifies risks or barriers to meeting analytic and reporting objectives.
Plays a critical role in leading the team through the transition to data warehousing, machine learning and artificial intelligence in the AWS environment.
Building, training, tuning, and deploying machine learning (ML) models on AWS.
Develop AI and ML solutions to understand clinical and operational performance, bring them cutting-edge AI and GenAI products, and recommend proactive and efficient ways to serve the organizational objectives better.
to provide insights and reports for program evaluation, quality improvement, and planning projects.
Assists with knowledge transfer of the research findings to quality improvement and changing practices within Mosaic PCN programs.
Business Intelligence and Reporting
Creates visually engaging, user-friendly, and compelling reports and dashboards in organizational BI platforms (Amazon QuickSight, Tableau and Power BI).
Conduct advanced ML and AI techniques in AWS environment and incorporate them into BI reports. Establish automatic data pipeline and analytic flow to incorporate data extraction, data cleaning, transformation, analysis, and reporting.
Performs ad hoc/custom data extractions, summaries, and analyses to support operational needs.
Data Quality and Documentation
Verify and validate the integrity and rigour of primary and secondary datasets through quality assurance reviews of data extraction, linkage, analytics, and automation.
Evaluate the data quality and the impact of ML/AI techniques and identify the solution (data transformation, imputation, outlier identification and manipulation etc.).
Creates documentation standards and maintain comprehensive documentation related to Mosaic PCN data holdings and reports including methodology notes, analytical plans, data dictionaries, measure definitions, reporting details, decision requests, options/recommendations etc.
Advise clients when data is not available or is inconsistent with the request to determine a feasible alternative and keep clients apprised of progress to meet required timelines.
Engages and liaises with the project team and other stakeholders through the project lifecycle - from feasibility through development to aid in data collection, data cleaning, analysis, and reporting.
Work with stakeholders for projects at the Calgary Zone and Provincial levels.
Build and maintain connections and collaboration with local, provincial, and national Data Science, ML and AI communities to gain knowledge of the emerging technology.
As a case matter expert, resolves (tiebreaker) technical disagreement amongst the team on standards or practices where no resolution can be found.
Proactively acquire the emerging ML, Generative AI techniques and tools to expand the team analytics capacity.
Build Community-Feeling (Teamwork)
• Embrace Culture and Diversity (Cultural Competency)
• Takes personal responsibility for the quality and timeliness of work and achieves results with little oversight.
Master’s degree in statistics, data science, machine learning, artificial intelligence or a health-related discipline that includes a strong grounding in data processing, and graduate-level statistical analysis training.

Minimum of eight (8) years of relevant experience in data science/analysis/research working with spreadsheets, databases, and tools for querying, integrating, analyzing, interpreting, and presenting data.
At least five (5) years of working experience in statistical modelling, data science, machine learning, and artificial intelligence.
Advanced experience in cloud computing environment, specifically Amazon Web Services (AWS) Platforms and Services is mandatory (minimum three {3} years’ experience).
Advanced level of proficiency in BI software: e.g., Tableau, Power BI, Amazon QuickSight (minimum five {5} years’ experience).
Advanced experience in explanatory modelling and predictive modelling including regression modelling, survival analysis, forecasting, decision tree, clustering, classification and ANN.
Proficiency in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., Proficiency with building ML/AI pipelines and relevant tools (e.g., Skills must include high proficiency in SQL, and implementation of advanced analytics using Python and/or R for data manipulation and analysis.
Working knowledge of Microsoft Office Suite (Excel, Word, PowerPoint, Visio, and Access) and the ability to become proficient with new software packages.
Demonstrated aptitude for mentoring and leading a team or project and the ability to work independently in a dynamic, team-oriented environment.
Occasional evening and weekend hours required.
Ability to travel on public transportation or a valid driver's license with access to own car in good repair is required.
We provide a competitive benefits package for eligible employees including: comprehensive health and dental coverage, Health Care Spending Account (HCSA) / Taxable Spending Account (TSA), a group RRSP matching program, professional development opportunities, generous vacation and other paid time off, and more
No phone calls please.
This position is part of the bargaining unit covered by a collective agreement with Health Sciences Association of Alberta (HSAA).
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