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New FlyerData
Data Scientist
Winnipeg, Manitoba, Canada$80,000 - $95,000Posted 2 days ago
The position involves coordinating business value-added projects, including designing, testing, documenting, training, and implementing customized business solutions related to ERP and business systems, with a focus on data science, AI, and analytics.
Location: Winnipeg, Manitoba, Canada
Salary: $80,000 - $95,000
Responsibilities
- Work with ERP and IOT data sources to build Power BI dashboards for data storytelling and decision support
- Design and develop machine learning models and predictive analytics solutions using Snowflake data
- Perform data exploration, statistical analysis, and feature engineering for AI initiatives
- Collaborate with data engineering teams to ensure robust data pipelines
- Contribute to the development of AI-driven tools and frameworks
- Evaluate model performance and retrain models as needed
- Participate in cross-functional projects involving manufacturing, quality, supply chain, and engineering
- Update training and documentation
- Deliver user training to operating groups
- Other duties as assigned
Requirements
- Post-secondary education in Business or STEM field or equivalent experience
- Training and/or certifications in Data Science, Statistics, AI
- 2+ years of experience in data science, AI, or advanced analytics
- Proficiency with SQL (preferably Snowflake), Python, and Power BI
- Understanding of machine learning algorithms, model evaluation, and AI workflows
- Experience building end-to-end models and integrating into business processes
- Knowledge of data warehousing concepts and cloud-based data platforms (Snowflake and Fabric preferred)
Benefits
- Competitive wages
- Extended health benefits
- Paid holidays
- Pension plan
- Continuous learning environment
- Career advancement opportunities
- Ongoing employee development and tuition subsidies
Additional Information
- Wage Range: $80,000 - $95,000
- The company is a leading bus manufacturer focused on transportation solutions, emphasizing safety, accessibility, efficiency, and reliability.