Python • calgary ab
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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 with a high priority on your personal and professional growth.
Your Opportunity
We are looking for a skilled, Data Scientist, to join our team.
In this role, you will work cross-functionally to extract insights from data and build custom AI solutions to drive business impact.
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, explain-ability, and ethical alignment.
Clearly communicate technical analysis and results to stakeholders using data visualizations, reports, and presentations.
Continuously monitor models and data pipelines in production to ensure quality and reliability.
Stay up to date 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 through all aspect of your work: 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 are focused on effective service delivery to your clients
You share in an inclusive and engaging work environment that develops, retains & attracts talent
You actively participate in the adoption of digital tools and strategies to drive an innovative workplace
You grow your expertise through learning and professional development.
Requirements:
M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field.
3+ years experience 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
Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.
Experience training custom transformer models like Llama and Mistral.
Knowledge of cloud platforms like Azure, AWS, or GCP for model deployment.
Strong verbal and written communication skills.
Passion for translating complex data into actionable insights.
Ideal Candidate Will Have:
A systematic approach to problem-solving and devising practical solutions.
Published academic research in ML/AI conferences and journals.
Kaggle competition experience demonstrating modeling expertise.
Knowledge of responsible and ethical AI practices.
Ability to mentor and share knowledge with junior data scientists.
