Data Scientist
3 months ago
**Salary**: The salary range for this position is CAD $38.12/Hr. - CAD $54.80/Hr.
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.
Please note this role is currently a fixed one-year contract until August 2025. While there is the possibility of extension or transition to a permanent role, there are no gurantees at this time.
**Your duties will include**:
- ** Data Science and ML Model Development**:Design, build, and implement data science and machine learning models to identify patterns, trends, and opportunities, collaborating with clinical and management teams to improve various clinical domains.
- ** Advanced Modeling and Analytics**:Work with the Advanced Modeling & Optimization team to develop predictive and prescriptive analytic models, analyze and deploy data science models on cloud environments (Azure/AWS), and provide strategic recommendations to management.
- ** Stakeholder Collaboration and AI Product Development**:Collaborate with stakeholders to develop and implement AI products aligned with PHC's strategic priorities, improve AI product performance, and stay updated with the latest technology trends and methods.
What You Bring:
**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.
What We Offer:
- **Competitive salary**: $74,618 - $107,264 CAD per year, depending on experience
- ** Comprehensive** benefits**: Eligible employees receive a robust medical and dental benefits package, including 4 weeks paid vacation starting.
- ** Pension** plan**:Work towards a comfortable retirement through employer-matched contributions to one of Canada's strongest pension plans
- ** Meaningful impact**: Your dedication and expertise will directly impact the lives of patients, including many from marginalized communities, helping contribute to the public heal
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