Hello! We are Fever, the premier technology platform that transforms the landscape of culture and live entertainment.Our goal? To make culture and entertainment accessible to everyone. Through our advanced technology and data-centric strategies, we are reshaping how individuals interact with live experiences. Every month, our platform captivates over 300 million people across more than 40 countries, inviting them to discover remarkable experiences while empowering event organizers with our insights and tools to innovate and expand their reach.Our achievements? We've partnered with renowned industry giants such as Netflix, F.C. Barcelona, and Primavera Sound, created internationally acclaimed experiences, and are supported by top-tier global investors! Impressive, right? To further our mission, we are in search of exceptional individuals with a proactive approach who are excited to shape the future of entertainment! Are you ready to be a part of this journey?Now, let’s delve into the specifics of this role and how you will contribute to Fever’s mission.About the RoleWe are seeking dynamic and inspiring data science leaders who are eager to take charge of significant business areas—such as product optimization, personalization, or marketing—and lead small, collaborative teams to drive impactful results.As a Lead Data Scientist at Fever, you will merge strong technical expertise with the ability to navigate diverse teams and projects. You'll leverage data to address intricate business challenges while fostering the growth and development of your team members.This is a highly cross-functional and visible role where your contributions will directly influence major business and product strategies. You’ll have the opportunity to shape the direction of the Data Science team and bolster our collective culture of learning, innovation, and inclusivity.What You’ll DoFully own strategic data science initiatives, from exploration to deployment.Guide, mentor, and nurture a small team of Data Scientists, aiding their technical and professional development.Design and create models for personalization, forecasting, user behavior analysis, and marketing effectiveness.Collaborate with Product, Engineering, Marketing, and other teams to translate data insights into tangible impacts.Help prioritize projects effectively based on their value and potential outcomes.
Feb 3, 2026
