Staff Data Scientist (Canada, EST, Remote)

We are looking for candidates with substantial experience building and deploying sophisticated machine-learning systems, ideally in environments involving large-scale or complex data.

You should have strong practical experience in several of the following areas:

• Deep learning and modern neural-network architectures.
• Transformer architectures, attention mechanisms or sequence models.
• Representation learning, embeddings or self-supervised learning.
• Modelling structured, tabular, temporal, transactional or event-based data.
• Developing and evaluating predictive or generative machine-learning models.
• Designing controlled experiments and performing rigorous model evaluation.
• Working with large, noisy and heterogeneous datasets.
• Python and modern machine-learning frameworks such as PyTorch.
• Experience with CUDA and RAPIDS.
• Production machine learning, including collaboration with ML or data engineering teams.
• Mentoring other data scientists or providing technical leadership across complex projects.
• Experience in financial services, accounting, payments, ERP systems or other enterprise data domains would be advantageous but is not required.
• Experience developing foundation models, recommender systems, anomaly-detection systems, time-series models or other large-scale representation-learning systems would also be valuable.

• PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics or another quantitative discipline, or equivalent practical experience.
• Typically 7+ years of relevant industry experience in Data Science, Machine Learning or Applied Research, with demonstrated impact at a senior or staff level.
• Strong understanding of machine-learning fundamentals, statistics and experimental design.
• Demonstrated ability to independently lead technically complex projects from problem definition through experimentation and delivery.
• Strong programming and data-analysis skills.
• Ability to reason clearly about ambiguous problems and make pragmatic technical decisions.
• Strong written and verbal communication skills, including the ability to explain complex concepts to different audiences.
• Track record of collaborating effectively across Data Science, Engineering, Product and business teams.
• Evidence of technical leadership through mentoring, setting standards, influencing architecture or defining modelling strategy.

contingent on employment

• Fulfill requirements necessary to obtain full background check.

The expected base salary range for this position is to $185,000 to $200,000 and may be eligible for bonus awards.

The determination of an applicant’s base salary within this range is based on the individual’s location, skills, experience and competencies, and unique qualifications.

Why You’ll Love Being Part of Our Team:

📈 Competitive Compensation and Equity 🏠 Flexible Work – Hybrid or Remote 🍏 Comprehensive health benefits and wellness programs 📚 Professional development opportunities 🌴 Flexible Time Off 💰 Company Matched Retirement Plans 🔕 Unplug and recharge - 4 company-wide digital detox days annually

At the heart of our global success lies commitment to diversity and inclusion.

We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks.

MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors.

At MindBridge, we are committed to providing an accessible candidate experience.

If you require accommodations during the interview process or beyond, please inform us.

We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality.

Your comfort and participation are paramount to us.

Please be advised that we may use AI tools in the processing of your application.