Top Data Science Jobs in Ottawa

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

The Staff Product Manager will lead product strategies for consumer data systems, drive attribution and trust models, and enhance user engagement through improved data quality and collaboration with cross-functional teams.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

The Staff Product Manager will define and drive the strategy for Dropbox's sharing features across platforms, lead cross-functional teams, and influence product growth through data-driven decisions and stakeholder communication.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Senior Product Manager for AIOps at PagerDuty will lead product lifecycle, define strategic roadmaps, and collaborate with engineers and designers to address customer needs in AI-powered digital operations management.

The Enterprise Architect will design data-centric systems, align technical strategies with business objectives, and lead architecture practices while collaborating with stakeholders.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As a Data Science Intern, you will engage in data analysis, collaborate with teams to improve products, and build dashboards for insights.

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.

Lead innovative product development in the entertainment sector, establish architecture and engineering standards, mentor engineers, oversee complex projects, and drive technical solutions.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

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 the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

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

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

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

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.