Top Data Science Jobs in Ottawa

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 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 the Appeal Operations team to manage the Denylist appeal program, leveraging fraud expertise to drive efficiency and collaborate with cross-functional teams.

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.

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

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

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

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

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

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

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

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

The Manager, Product Analytics leads a team to drive product insights, collaborates on business objectives, and oversees analytics projects to inform product decisions and improve user experience.

The Strategy & Insights Manager will analyze market data, build presentations, tell compelling stories, and collaborate across teams to drive influencer marketing strategies.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

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.

The Senior Account Executive will leverage technical expertise to drive revenue growth, build partnerships, and represent technology in the engineering sector.

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

Lead the Data Science and Analytics - Supply team to enhance vehicle positioning, demand forecasting, and fleet health, optimizing operations through machine learning and analytics.

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.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.