VP of Data Science
August 21
Description
• Lead the data science team at Vevo, which applies machine learning, AI, and statistics to business challenges across the organization. • Develop the strategy, vision, and roadmap for data science, while deeply understanding our business and its needs. • Drive projects to the finish line by effectively prioritizing tasks and building necessary partnerships with other stakeholders. • Ensure the excellence of technical data science deliverables. • Regularly summarize the results and implications of data science work to the senior leadership team and the wider company. • Collaborate with leaders across ad sales, operations, pricing, content, programming, business development, and finance to scope and deliver projects. • Work with the Head of Data to create the right measurement partnerships to advance Vevo’s solutions for advertisers, incorporating a data science lens on what is high quality and integrable with existing in-house solutions. • Stay abreast of advances in machine learning and AI. • Coach and grow a team of data scientists.
Requirements
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • 5+ years of executive leadership experience overseeing data science teams. Strong understanding of predictive modeling, statistics, automation, and the applications of data science to business stakeholders. • Hands-on experience with predictive modeling. Experience with statistical tools and machine learning models, such as (un)supervised learning, NLP, forecasting, generative AI, LLMs, t tests, and experimental frameworks. • High competency with Python, SQL, and the use of cloud databases (like Redshift). • An understanding of how to work with common engineering tools such as Kubernetes and Airflow. • Strong business acumen and the ability to communicate very technical data science work to non-technical executives.
Benefits
• Competitive compensation and benefits packages. • Premier access to music content and new releases of original media content.
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