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Data Scientist II, Data & Analytics Services

AgencyPHSA
Labor AgreementExcluded
Posting #174570-2425179
Grade8
DepartmentData Science & Innovation
UnionExcluded/Non-Contract
Work Site655 West 12th Avenue, Vancouver
StatusRegular
Position StatusFull-time
FTE1.00
Hours of Work900-1700
Work DaysMon, Tue, Wed, Thu, Fri
Days OffSat, Sun, Stat
Position Start Date02-Dec-2024
Applications Accepted Until 10AM01-Nov-2024
Job Summary

 

Salary Range: $88,990-$127,923/year. The starting salary for this position would be determined with consideration of the successful candidate’s relevant education and experience, and would be in alignment with the provincial compensation reference plan. Salary will be prorated accordingly for part time roles.


Job Summary:

In accordance with the Purpose, Vision, Values and Coast Salish Teachings, and strategic directions of PHSA, safety, including both patient and employee safety, is a priority and a responsibility shared by everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this position.

The Provincial Health Services Authority (PHSA) plans, manages and evaluates selected specialty and province-wide health care services across BC, working with the five geographic health authorities to deliver province-wide solutions that improve the health of British Columbians. PHSA embodies values that reflect a commitment to excellence.

Reporting to the Director, Data Science and Innovation, the Data Scientist II works under the supervision of a Data Scientist III and acts in accordance with the analytics and computing priorities of the BC Centre for Disease Control. This role aims to support our computing learning systems to create and/or enhance insights gained from analyzing quality data, and to build and increase capacity by automating existing pipelines and processes, and to make recommendations on the restructuring and optimization of service line & department resources. The Data Scientist II is able to use large data sets and machine learning models to find opportunities for product and process optimization, elimination or streamlining of resources, as well as to test the effectiveness of different courses of action. They use a variety of data mining/data analysis techniques and utilize their knowledge of the full AI product lifecycle of development, testing, implementation, and maintenance. The Data Scientist II will support business results with their data-based insights and works with a wide range of parties and functional teams. The Data Scientist II will discover solutions hidden in large data sets and work with various partners to improve business processes and outcomes.

Qualifications:

A level of education, training, and experience equivalent to a Master’s in Statistics, Mathematics, Computer Science, or another quantitative field, and five (5) years of experience working with large datasets and machine learning models.

Demonstrated skills in AI product development 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 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 and other regression, Bootstrapping, Random Forests, Boosting, Trees, text mining, social network analysis, simulation, scenario analysis, clustering analysis, decision trees, neural networks, and other methodology. Experience writing computer code, querying databases, and using statistical computer languages: Python, SQL, R, SAS, and others.
Experience with distributed data/computing tools, including Hadoop, AWS, Hive, Spark, Gurobi, MySQL, or similar. Experience visualizing/presenting data for stakeholders using: R/RStudio Shiny, Tableau, PowerBI, D3, Periscope/Sisense 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.

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