Senior Data Scientist

BDO; Halifax; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading professional services firm is seeking an experienced Senior Data Scientist to collect and analyze large datasets. This role involves building machine learning models and collaborating with cross-functional teams. Candidates should have at least 5 years of relevant experience and a Master's or Ph.D. in a relevant field. This position offers the flexibility to work from anywhere in Canada.

Qualifications

• 5+ years of experience in building and deploying machine learning models.
• Expertise in Python data science libraries like Pandas, Matplotlib, NumPy, and Scikit-Learn.
• Strong verbal and written communication skills.

Responsibilities

• Collect, clean, and transform large datasets for analysis.
• Build custom machine learning models using state-of-the-art techniques.
• Communicate technical analysis and results to stakeholders.

Skills

Data analysis

Machine learning

Natural language processing

Communication

Python programming

Education

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

Tools

TensorFlow

PyTorch

Kubernetes

Git

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. We offer an award-winning environment that fosters 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 from anywhere in Canada. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to facilitate 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 support decision-making, generate actionable insights, and contribute to 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?

• Demonstrate BDO's core values: Integrity, Respect, and Collaboration.
• Understand clients’ industries, challenges, and opportunities; be perceived as positive, professional, and delivering high-quality work.
• Identify, recommend, and focus on effective service delivery to clients.
• Contribute to an inclusive and engaging work environment that develops, retains, and attracts talent.
• Participate actively in adopting digital tools and strategies to foster innovation.
• Grow your expertise through continuous learning and professional development.

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.
• Knowledge graph experience.
• Use 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.