Job ID: 10350
Employment Type: New Role
Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS.
Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.
Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.
The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $125,000 - $140,000. Candidates with salary expectations outside of the range are still encouraged to apply.
Job OverviewThe Machine Learning Engineer is responsible for solving business problems and discovering business insights using structured and unstructured data, statistics, visualization and advanced machine learning techniques, and communicating findings of analysis to technical and business audiences.
Job Responsibilities- Strong ability to support and work with cross-functional teams in a dynamic business environment
- Ability to respectfully challenge the status quo
- Required to be highly creative and collaborative
- Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders
- Has good judgment, a sense of urgency
- Commitment to high standards of ethics, regulatory compliance, customer service and business integrity
- Performs other duties as assigned
Qualifications- More than five years of relevant research experience with publication record.
- Master/PhD degree in machine learning, computer science, statistics, operations research, mathematics or a related quantitative field.
- Strong understanding of statistical and machine learning models, with a focus on interpretability and fairness analysis.
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
- Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, and operations.
- Knowledgeable about the Agile development cycle.
- Experience in code reproducibility and version control.
- Strong programming skills with Python and SQL.
- Experience with current Cloud ML technologies.
- Strong ability to support and work with cross-functional teams in a dynamic business environment
- Required to be highly creative and collaborative
- Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders.
- Has good judgment, a sense of urgency.
- Commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
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