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The Lead Architect will build and grow a Business Intelligence centre of excellence, manage BI landscapes, and work with stakeholders to drive teams and vision. Responsibilities include creating solution architectures, optimizing BI solutions, performing data analysis, and developing training and best practices.

The role involves working with clients to address analytics needs, performing root cause analysis on data, and designing solutions using advanced analytics methods. Responsibilities include implementing and auditing GA4, tracking custom events with GTM, and measuring marketing campaign effectiveness.

As a GCP Cloud Engineer, you will develop and maintain data pipelines, implement data transformations, oversee ETL orchestration, and manage data migration tasks while leading projects and coordinating with teams to deliver technology solutions.

The Senior MLOps Engineer will join the Data Science team to productionalize ML models such as MMM and VoC analytics. Responsibilities include developing ETL pipelines, implementing automation, collaborating with teams for user experience optimization, and mentoring junior engineers. The role emphasizes optimizing ML performance and utilizing AWS for cloud solutions.

The Senior Decision Scientist will develop and execute experimental methods to derive actionable insights from data. Responsibilities include collaborating with eCommerce and Digital Marketing leaders, providing strategic recommendations, defining metrics and reports, and leading a stream of testing and experimentation.

As an Azure Data Architect, you will innovate and maintain technology services, develop data strategies using Azure, oversee cloud architecture, integrate AI solutions, collaborate with stakeholders, and provide technical leadership while ensuring compliance and security standards are met.

Leading a small group of DS developers in collaborating and streamlining data science work with product, BA, MLOps. Responsible for DS model development, deployment into multiple markets, code development, model tuning, testing planning, and more. Supporting activities in UAT and development as a contingency resource to ensure timely delivery.