Remote Data Scientist - AI Foundations

Description:

• The Personalization team at Spotify aims to enhance the listening experience by making it easier for users to decide what to play next.
• The team is responsible for popular features like Blend and Discover Weekly, built through a deep understanding of music, podcasts, and audiobooks.
• The Data Scientist will join the AI Foundations team to evaluate generative AI models and their impact on users.
• This role involves collaboration with cross-functional teams, including engineers, research scientists, product managers, and tech leads, to ensure data-driven product and technology decisions.
• Responsibilities include performing analyses on AI models and user behavior, defining and reporting key performance metrics, designing and analyzing experiments, contributing to novel methodologies for AI model evaluation, and communicating complex technical findings to diverse stakeholders.

Requirements:

• Candidates should have experience in a hands-on data science role, preferably within an AI or ML team.
• Technical competence in advanced analytics is required, including coding skills in Python or R, experience with analytics and visualization tools such as SQL, Tableau, and ggplot/matplotlib, and the ability to analyze large datasets using AI tools.
• Strong communication and presentation skills are essential, with an emphasis on storytelling with data.
• The ideal candidate should be self-driven, capable of tackling loosely defined problems, and focused on driving strategic impact.
• A passion for being at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact, is necessary.

Benefits:

• The position offers a competitive salary range of $110,018 - $157,169, plus equity.
• Benefits include health insurance, six months of paid parental leave, a 401(k) retirement plan, a monthly meal allowance, 23 paid days off, and 13 paid flexible holidays.
• Spotify promotes inclusivity and provides reasonable accommodations during the recruitment process to ensure accessibility for all candidates.