Vevo is hiring a
VP of Data Science

Summary

The job is for a VP of Data Science at Vevo, a leading music video network. The role involves leading the data science team, developing strategies, collaborating with various departments, and staying updated with advances in machine learning and AI. The position is remote with monthly travel to NYC.

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

Responsibilities

• Lead the data science team at Vevo
• Develop the strategy, vision, and roadmap for data science
• 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

Benefits

• Competitive compensation and benefits packages
• Premier access to music content and new releases of original media content