Data Scientist

Job Description

Job Description
In accordance with the Vision, Purpose, and Values, and strategic direction of the Vancouver Island Health Authority (Island Health), patient and staff safety is a priority and a responsibility shared by everyone; as such, the requirement to continuously improve quality and safety is inherent in all aspects of this position.

Reporting to the Director, Analytics, Evaluation and Performance, the Data Scientist acts in accordance with the priorities at Island Health to build and increase capacity and support for the cognitive computing learning systems to create and enhance insights gained from analyzing data. The role is diverse and spans across a wide variety of challenges in healthcare from patient flow management, quality, staff and patient scheduling, capacity planning, inventory management, finances and others. This position will work collaboratively with solution architects, business analysts and partners from Operations, Finance, People, IT and Business Leadership. The Data Scientist adeptly uses large data sets and machine learning (ML) models to find opportunities for product and process optimization as well as to test the effectiveness of different courses of action. This role will discover solutions hidden in large data sets and works with partners and functional teams to improve business processes and outcomes. The Data Scientist will also stay apprised of current trends and research on all aspects of advanced analytic techniques and will work in collaboration with provincial and national colleagues.

QUALIFICATIONS:
Education, Training And Experience
PhD in Statistics, Mathematics, Computer Science or another quantitative field, five (5) to seven (7) years of recent, related experience working with large datasets and machine learning models. An equivalent combination of education, training and experience will also be considered. Experience in the health care sector is an asset.

Skills And Abilities

• Advanced skills in AI product design and the analysis of quantitative data for the purpose of creating actionable insights and measurable impact.
• Thorough knowledge of the principles, processes, procedures and methods involved in data mining, data analysis, statistical methods, and machine learning.
• Demonstrated expertise in planning, organizing and coordinating AI product activities.
• Demonstrated proficiency with using advanced machine learning methods, machine learning software packages, and manipulation of large datasets.
• Knowledge and experience in statistical and data mining techniques including but not limited to: GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, clustering analysis, decision trees, neural networks, etc.
• Experience writing computer code, querying databases, and using statistical computer languages: Python, SLQ, R, and others.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, AWS, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for partners using: R, Tableau, Jupyter, Matplotlib, D3, ggplot, Periscope, or other.
• Demonstrated expertise in knowledge synthesis and translation activities.
• Demonstrated ability to communicate effectively, both verbally and in writing.
• Ability to work collaboratively in an interdisciplinary environment.
• Physical ability to perform the duties of the position.

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