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Senior Data Scientist
BDO Canada. Collect, clean, and transform large, complex datasets for analysis .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning models, with a strong focus on natural language processing and deep learning techniques. Proficient in utilizing Python and relevant data science libraries to derive actionable insights from complex datasets.
Highest-signal resume keywords
Machine Learning Model DevelopmentNatural Language ProcessingPython Data Science LibrariesModel Deployment on Cloud PlatformsData Visualization and Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningNatural Language ProcessingPythonRSQLNoSQLTensorFlowPyTorchData CleaningModel Optimization
Soft Skills
Strong Communication SkillsCollaborationProblem-Solving
Tools & Technologies
KubernetesNvidia Triton ServersGitAzureAWSGCP
Industry Keywords
Data ScienceDeep LearningReinforcement LearningPredictive ModelsKnowledge Graph
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformKubernetesNoSQLNumpyPandasPythonPyTorchScalaScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Collect, clean, and transform large, complex datasets for analysis
- Build custom machine learning models and natural language processing systems
- Use TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to develop specialized large language models
- Train, evaluate, and optimize models for accuracy, explainability, and ethical alignment
- Communicate technical analysis and results through data visualizations, reports, and presentations
- Monitor models and data pipelines in production for quality and reliability
- Stay current with deep learning, NLP, reinforcement learning, and other AI methods
- Collaborate with cross-functional teams and service lines to develop, enhance, and implement ML predictive models, Gen AI, and AI Agent solutions
- Drive data-informed decision-making, actionable insights, productivity gains, and revenue gains
Requirements
What you’ll need- M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field
- 5+ years’ experience in building and deploying machine learning models in a production environment
- Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn
- Proficiency in Python, R, or Scala
- Experience with SQL and NoSQL databases
- Knowledge graph
- Git version control and collaborative development
- Experience training custom transformer models like Llama and Mistral
- Knowledge of Azure, AWS, or GCP for model deployment
- Strong verbal and written communication skills
- Passion for translating complex data into actionable insights
Benefits
Comp & perks- Award-winning people-first culture
- Personal and professional growth opportunities
- Extensive learning and development opportunities
- Support for personal goals and community impact
- Collaborative and inclusive work environment
- Local and national community events
- Competitive total cash compensation
- Comprehensive benefits from day one
- Flexible personal time off policy
- Wellness initiative reimbursement
- Flexible/blended work model
- Workplace accommodation and accessible application process