As a leader on our team, you will:

• 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

This describes you:

• An executive with a proven track record completing major data science projects within advertising or media
• Hands-on experience with machine learning in Python and can get into the weeds of challenges as needed
• Can communicate articulately to non-technical audience about the use of data science in the advertising and media industry
• Ability to work collaboratively with teams across the company
• Experience leading teams and managing managers
• Knowledge of data infrastructure, machine learning algorithms, and general data science toolkit

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

Interested? Great! You might like to know:

• We’re a fun, energetic, and tight-knit team.  
• We really enjoy music and technology.
• We have competitive compensation and benefits packages.  
• We have premier access to music content and new releases of original media content.