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Photographe * recherché pour photo en milieu de garderie* Vous êtes dynamique souriant et en forme. Vous adorez les enfants. Vous êtes minutieux aux détails tout en...

Reporting to the Manager, Data Product Management, the Product Owner plays a key role in managing the backlog of new and existing data products across Air Canada, specifically for our Loyalty, Marketing, and eCommerce data domains. Are you passionate about creating data products that deliver value t

Supervise baseline and post-installation data collection, including trend data from building automation systems, field measurements, data loggers, and performance tests. Minimum BSME or equivalent degree in related area of study pertaining to data analysis, modelling, and general modelling: mechanic

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You develop and deploy models based on rigorous statistical and financial analyses applied to large datasets

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a model validation specialist. Assess the quality and relevance of input data, verify assumptions and the treatment of outliers. Within the risk Management sector, you are part of a large team of 12 coll

Working closely with the Data Owner, the Data Governance team, and key stakeholders across the ecosystem, you implement data governance best practices, particularly data quality and data lineage, to support strategic decision-making, manage risks, and generate tangible impact on the Bank’s busines

ETL : SAS, DataStageOrdonnancement : Control-MBases de données : SQLPlateformes : SAS MA / CI360 / CI Studio (atout)Environnements : Windows & Linux, serveurs SQLMéthodologies : Agile, DevOps, CI/CD.

Collaborating with data and platform teams to integrate semantic models into enterprise data platforms. Data governance, data engineering, and platform teams. Data governance concepts: metadata, lineage, stewardship.

Il joue un rôle central dans la mise en place de pipelines de données performants et fiables, tout en soutenant l’adoption de pratiques avancées en DataOps, DevOps et automatisation. Appliquer et promouvoir les meilleures pratiques DataOps, DevOps et gouvernance des données.

This role allows you to have a tangible and measurable impact on the organization through your expertise in modeling, data analysis, and data-driven decision-making, at the heart of high-impact initiatives for clients and operations. Customized learning content on topics such as fraud, modeling, and

Experience working with AI and Data initiatives is highly valued. Contribute to AI and data-driven initiatives by helping teams apply Agile principles to technical and analytical workflows.