Top Data Jobs in Ottawa

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

The Senior Pre-Sales Engineer will assist customers with evaluations, system configurations, and installations, while collaborating with engineering on product requirements and strategy.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

Design and build platform services at Atlan, focusing on app lifecycle, distribution, and system architecture for reliability and scale.

The Associate Data Scientist will focus on data privacy and de-identification, assisting with client engagements and data analysis while developing expertise in regulatory standards.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.

As an AI Data Collector, you will capture high-quality images in various environments following project guidelines and deadlines. You will work independently, document your process, and help shape the future of AI technologies.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Lead the Data Modeling team, focusing on the development of reusable core data models and metrics. Collaborate with various teams to ensure data quality and reliability in analytics and AI/ML. Hands-on role requiring experience in data modeling, SQL, Python, and Spark.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Data Technical Analyst at StackAdapt will advise clients on audience targeting, oversee technical setups, optimize data integrations, and troubleshoot performance issues while staying informed on industry trends.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, develop measurement solutions, and support marketing decision-making efforts using data-driven insights.

The Account Executive will sell CoStar products, manage client portfolios, drive new business, and represent the brand at industry events.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

The Senior Director will lead AI transformation in procurement, creating research content, providing actionable insights, and mentoring team members. This role requires expertise in AI technologies, procurement processes, and collaborative engagement with clients and executive teams.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

Lead a data engineering team responsible for customer integrations, ensuring quality, improving processes, and building data pipelines in a hands-on management role.

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.