
Data Scientist
New Flyer
full-time
Posted on:
Location Type: Remote
Location: Canada
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Salary
💰 CA$90,000 - CA$100,000 per year
About the role
- Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support
- Design and develop machine learning models and predictive analytics solutions using data sourced from Snowflake
- Perform data exploration, statistical analysis, and feature engineering to support AI initiatives
- Collaborate with data engineering teams to ensure robust data pipelines
- Contribute to the development of AI-driven tools and frameworks within the organization
- Evaluate model performance and retrain as needed to adapt to evolving data
- Participate in cross-functional projects involving manufacturing, quality, supply chain and engineering.
- Update training, and documentation.
- Deliver user training to operating groups as required.
- Other duties as assigned
Requirements
- Post-secondary education in Business or STEM field, or an equivalent combination of education and relevant work experience
- Any combination of training and/or certifications in Data Science, Statistics, and Artificial Intelligence (AI)
- 2+ years of experience in a data science, AI, or advanced analytics role
- Strong proficiency with SQL (preferably in Snowflake), Python, and PowerBi
- Solid understanding of machine learning algorithms, model evaluation, and AI workflows
- Experience building end to end models and integrating them into business processes
- Deep knowledge of data warehousing concepts and cloud-based data platforms (Snowflake and Fabric preferred)
Benefits
- Competitive Wages.
- Extended Health Benefits
- Paid Holidays
- Pension Plan
- A continuous learning environment.
- Ability to advance your career with a growing company.
- Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive analyticsdata explorationstatistical analysisfeature engineeringmodel evaluationSQLPythondata warehousingcloud-based data platforms
Soft Skills
collaborationcommunicationtrainingdocumentation
Certifications
Data ScienceStatisticsArtificial Intelligence