At a Glance
- Tasks: Use data and machine learning to solve real business problems and uncover insights.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, bonuses, vacation time, and comprehensive benefits package.
- Other info: Flexible work locations across Canada with great career advancement opportunities.
- Why this job: Make an impact with cutting-edge technology in a hybrid work environment.
- Qualifications: Master’s or PhD in a related field and strong programming skills required.
The predicted salary is between 125000 - 140000 $ per year.
About the role
The Machine Learning Engineer uses structured and unstructured data, statistics, visualization, and advanced machine learning techniques to solve business problems and discover insights. The role communicates analytical findings to technical and business audiences.
Work environment
Hybrid, with in-office work two days per week or 15 hours per week. The role may be based in Winnipeg, Wawanesa, Vancouver, Calgary, Edmonton, Lethbridge, North York, Kitchener, Ottawa, Montreal, Quebec City, Moncton, or Dartmouth.
Compensation
Estimated salary range: $125,000–$140,000 per year. Eligible permanent full-time and part-time employees may receive an annual bonus, leave of absence top-up programs, vacation time, personal days, benefits, and a pension plan.
Responsibilities
- Use data, statistics, visualization, and machine learning to solve business problems and identify insights.
- Communicate analysis findings and technical concepts to technical and business stakeholders.
- Collaborate with analytics, development, operations, and other cross-functional teams.
Qualifications
- Master’s or PhD in machine learning, computer science, statistics, operations research, mathematics, or a related quantitative field.
- More than five years of relevant research experience with a publication record.
- Knowledge of statistical and machine learning models, particularly interpretability and fairness analysis.
- Strong Python and SQL programming skills, experience with current cloud ML technologies, reproducible code, and version control.
- Knowledge of the Agile development cycle.
Machine Learning Engineer in Lethbridge employer: Skillhub Solutions Inc.
Scotiabank is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Technical Lead in the GWMS Digital Client Services team, you will benefit from comprehensive professional development opportunities, competitive compensation, and a collaborative environment that values your contributions. Located in a vibrant city, Scotiabank offers unique advantages such as access to cutting-edge technology and a commitment to employee well-being, making it a rewarding place to advance your career.
