Senior Data Scientist

BDO Canada

. Collect, clean, and transform large, complex datasets .

Posted 11/5/2026full-timeCalgary • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models, with a strong foundation in Python and data science libraries. Proficient in developing natural language processing systems and utilizing cloud platforms for model deployment.

Highest-signal resume keywords

Machine Learning Model DevelopmentNatural Language ProcessingPython Data Science LibrariesModel Deployment on Azure, AWS, or GCPData Visualization and Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingPythonSQLNoSQLTensorFlowPyTorchPandasNumPyScikit-Learn

Soft Skills

Strong Verbal CommunicationStrong Written Communication

Tools & Technologies

KubernetesNvidia Triton ServersGitAzureAWSGCP

Certifications & Qualifications

M.S. or Ph.D. in Computer ScienceM.S. or Ph.D. in Data Science

Industry Keywords

Deep LearningReinforcement LearningKnowledge GraphsCustom Transformer ModelsData Pipelines

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformKubernetesNoSQLNumpyPandasPythonPyTorchScalaScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Collect, clean, and transform large, complex datasets
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 production models and data pipelines 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, generative AI, and AI agent solutions
Drive actionable insights, productivity gains, revenue gains, and progress toward strategic goals

Requirements

What you’ll need

M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field
5+ years’ experience building and deploying machine learning models in a production environment
Expertise in Python data science libraries including Pandas, matplotlib, NumPy, and Scikit-Learn
Proficiency in Python, R, or Scala
Essential experience with SQL and NoSQL databases
Knowledge of knowledge graphs
Git version control and collaborative development experience
Experience training custom transformer models such as 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 environment
Personal and professional growth opportunities
Extensive learning and development opportunities
Community involvement and local and national events
Competitive total cash compensation
Comprehensive benefits from day one
Flexible personal time off policy
Wellness initiative reimbursement
Flexible blended work model
Inclusive and accessible workplace
Accommodation support for the application process