Senior Data Scientist

BDO; Toronto; Remote; CAD 100,000 - 130,000; Full time

Job summary

A professional services firm is seeking a Senior Data Scientist to leverage data for decision-making. This role involves building ML models and collaborating with teams to enhance business insights. The ideal candidate holds a M.S. or Ph.D. and has over 5 years of experience in data science. This position offers remote work opportunities across Canada.

Qualifications

• 5+ years of experience in building and deploying machine learning models in a production environment.
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with training custom transformer models like Llama and Mistral.

Responsibilities

• Collect, clean, and transform large, complex datasets for analysis.
• Build custom machine learning models and NLP systems using state-of-the-art techniques.
• Monitor models and data pipelines in production to ensure quality and reliability.

Skills

Python data science libraries (Pandas, Matplotlib, NumPy, Scikit-Learn)

Building and deploying machine learning models

Natural Language Processing

Machine Learning

Deep Learning

SQL and NoSQL databases

Version control using Git

Strong verbal and written communication skills

Education

M.S. or Ph.D. in Computer Science, Data Science, or a related quantitative field

Tools

TensorFlow

PyTorch

Kubernetes

Nvidia Triton Servers

Git

Cloud platforms (Azure, AWS, GCP)

Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a high priority on your personal and professional growth.

Your Opportunity

The Innovation and Change team at BDO Canada is looking to onboard a Senior Data Scientist who can work remotely from anywhere in Canada. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to drive data-driven decision-making. You will collaborate with cross-functional teams and service lines to develop, enhance, and implement ML predictive models, GEN AI, and AI Agent solutions to facilitate decision-making and generate actionable insights, thereby contributing to productivity, revenue gains, and the organization’s strategic goals.

Job Responsibilities :

• Collect, clean, and transform large, complex datasets for analysis.
• Build custom machine learning models and natural language processing systems using state-of-the-art techniques.
• Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to develop specialized large language models tailored to business needs.
• Train, evaluate, and optimize models for accuracy, explainability, and ethical considerations.
• Communicate technical analysis and results to stakeholders through data visualizations, reports, and presentations.
• Monitor models and data pipelines in production to ensure quality and reliability.
• Stay updated on the latest advancements in deep learning, NLP, reinforcement learning, and other AI methods.

How do we define success for your role?

• You demonstrate BDO's core values: Integrity, Respect, and Collaboration.
• You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high-quality work.
• You identify, recommend, and focus on effective service delivery to clients.
• You contribute to an inclusive and engaging work environment that attracts, develops, and retains talent.
• You actively participate in adopting digital tools and strategies to foster innovation in the workplace.
• You pursue continuous learning and professional development to grow your expertise.

Your experience and education

• M.S. or Ph.D. in Computer Science, Data Science, or a related quantitative field.
• 5+ years of 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 programming languages such as Python, R, or Scala. Experience with SQL and NoSQL databases is essential.
• Knowledge graph expertise.
• Experience using Git for version control and collaborative development, ensuring well-documented code following best practices.
• Experience training custom transformer models like Llama and Mistral.
• Knowledge of cloud platforms such as Azure, AWS, or GCP for model deployment.
• Strong verbal and written communication skills.
• Passion for translating complex data into actionable insights.