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Niche ML and data engineering skills at a lesser-known agency reduce applicant competition.
Core ML and data engineering skills are transferable, though marketing/music domain experience is beneficial.
Explicit 5+ years plus Databricks, ML, and data-privacy requirements create strict screening filters.
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Architect and maintain unified data engine with real-time ingestion from DSPs, social networks, and eCommerce platforms.
Develop, train, and deploy machine learning models to monitor product consumption trends and predict release success in real time.
Build local data anonymisation compliant with cross-border regulations and develop AI-powered front-end interfaces and automation tools for marketing operations.
Bachelor’s degree or equivalent experience.
5+ years in machine learning engineering, data architecture, or predictive pipeline development in high-volume tech or digital media.
Advanced proficiency in Python, SQL, API configurations, with hands-on experience in Databricks environments.
Strong understanding of data privacy frameworks and cross-border data security compliance.
Experienced in building scalable, compliant data pipelines with cross-functional collaboration across marketing and creative teams.
Proficient in leveraging AI coding assistants and large language models to accelerate front-end development and deployment.
Capable of translating complex audience data into actionable, AI-driven marketing insights for the music and entertainment industry.