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Role SummaryThe role of a Data Analyst has evolved into that of a Data Scientist, driving ad delivery efficiency and campaign outcomes through machine learning models.Define optimization problems for ad delivery and establish metrics, monitoring dashboards.Develop data-driven solutions for tasks such as price optimization, CTR/CVR prediction, creative performance analysis.Conduct evaluations, simulations, and A/B testing strategies.Implement MLOps practices including training pipelines, drift detection, automated rollback, governance for quality and privacy.Collaborate with product, engineering, teams to translate business requirements into actionable data solutions.Technical Requirements: Cloud-based infrastructure, Big data tools (BigQuery, Dataflow, Pub/Sub), Distributed systems and real-time processing, Programming languages: Python, Go, Infrastructure automation: Terraform, Ansible.Key Performance Indicators: Maximizing campaign outcomes, ad delivery efficiency, defining optimization problems, developing data-driven solutions.Benefits: Collaborative environment, cutting-edge technologies, opportunities for growth and professional development.
