Data Scientist ⭐
Tasks
- Analyze feature usage and adoption
- Analyze structured and unstructured data
- Benchmark data and create demographic breakdowns
- Build AI and machine learning solutions for software products
- Collaborate with product and development teams
- Create engagement scoring
- Deploy machine learning models to production
- Develop predictive machine learning models
- Develop repeatable insight frameworks
- Generate insights from recognition engagement data
- Monitor machine learning solutions
- Research AI and machine learning approaches
- Translate models into working software
Perks/Benefits
- Employee assistance program
- Employee resource groups
- Employer matched RRSP contributions
- Flexible vacation
- Health benefits
- Hybrid work flexibility
- Life insurance
- Mentorship
- Parental leave topup
- Professional development
Skills/Tech-stack
Agile | Artificial Intelligence | BigQuery | Data Engineering | Data Visualization | Decision Trees | Deep learning | GCP | GenAI | Gradient boosting | Hierarchical bayes | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Object-Oriented | Object-oriented programming | Python | Random Forest | Recommender Systems | SQL | Series analysis | Statistical modeling | Time Series | Time Series Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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