Senior Data Scientist

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 people-first culture with a high priority on your personal and professional growth.

Your Opportunity

We are looking for a skilled data scientist to join our analytics 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, explainability, 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.
• 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.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2024. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways :

• We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
• We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
• We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up : Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives.

We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter : We pay for performance with competitive total cash compensation that recognizes and rewards your contribution.

We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts : We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity.

We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation.

If you require accommodation to complete the application process, please contact us.

Flexibility : All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct : Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

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