Top Data Science Jobs in Ottawa

Own vision, strategy, and roadmap for cost-optimization and energy-management products for fleets. Translate telematics and operational data into customer-facing features, run discovery, prototype MVPs, define success metrics, and ship end-to-end with cross-functional teams.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Head of Scaled Sales will build sales-assisted growth strategies, optimize customer engagement, leverage data analytics, and deploy AI in sales processes.

The program hires students for various administrative roles, providing hands-on experience in a dynamic environment at the House of Commons.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

Lead development and execution of an enterprise B2B AI platform product (agentic systems). Define strategy and roadmaps, partner with Data Science and Engineering, prioritize customer and operational needs, use data and analytics to drive decisions, run rapid prototyping and experiments, remove delivery obstacles, mentor teams, and optimize scalable product journeys and workflows.

The Enterprise Architect will design data-centric systems, lead technical policy implementation, and collaborate with partners while addressing cybersecurity and system architecture requirements.

The VP Global Grid Modeling will lead global data strategy, manage high-performing teams, ensure quality datasets, and engage with customers for insights in energy markets.

Design, develop, train, and evaluate machine learning models; prepare and analyze large datasets; build dashboards and integrate models into applications; provide technical leadership and ensure ethical AI practices.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead a team of e-commerce marketing strategists specializing in Amazon Ads, advising clients, managing campaigns, and ensuring strong communication and performance analysis.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead roadmap and deliverables for measurement products (attribution, ABM, first-party data), create 0→1 solutions, write clear product specs, and drive features to completion working with engineers, designers, QA, and cross-functional teams.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.