Top Data Science Jobs in Ottawa

Lead a multidisciplinary team focusing on Applied AI for radio product development, manage AI initiatives, and collaborate across engineering teams to enhance performance and productivity.

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 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 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.

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

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.

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 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.

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 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.

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.

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

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

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.