Top Data Jobs in Calgary

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.

Lead investigations and develop analyses from complex data streams, ensuring quality outputs through validation and collaborating with engineers to embed analytic logic.

As a Data Engineer, develop data infrastructure for core analytics systems, building scalable data pipelines and integrating geospatial data workflows.

The Data Quality Analyst analyzes data quality across systems, collaborating with stakeholders to implement data quality rules and conduct root cause analysis of issues.

The Staff Data Scientist will lead the data science team in developing ML models, mentoring staff, architecting MLOps infrastructure, and collaborating with executives to drive high-value data initiatives.

Design, scope, and deliver modern analytics solutions: lead pre-sales, POCs, architecture, implementation, testing, and client relationships. Manage teams, mentor juniors, and support sales and delivery activities.

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.

Lead the architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

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.

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.

The Data Migration Specialist will manage end-to-end data migrations, ensuring data quality and effective communication with clients and internal teams while resolving challenges.

The Senior Product Manager will oversee integration of structured data into the AlphaSense platform, manage product lifecycle, and liaise between technical and user needs. Extensive experience in fintech or financial services required.

The Data & Analytics Engineer will manage the data infrastructure, owning pipelines, integrations, and ensuring data quality while collaborating with stakeholders to leverage data insights for decision-making.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Data Architect will lead data storage strategy and design across a multi-product SaaS platform, ensuring data architecture unification, optimizing data storage, and supporting AI initiatives while mentoring engineers for self-sufficiency.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

The Technical Data Analyst bridges Support and Engineering, ensuring high-quality products through data analysis, QA, and effective communication of technical concepts to stakeholders.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Lead client engagements, drive data solutions business, ensure project profitability, manage team development, and support business development initiatives.