Data Scientist - Music Promotion

Job description

The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify . Central to the Music Mission's vision is the development of promotional tools for artist and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos and Clips enable artists and their teams to grow, monetize and connect with their audience. We're looking for a Data Scientist to join Discovery Mode, part of the Music Mission. Discovery Mode helps artists and music marketers reach new listeners when it matters most. Artists and labels flag priority songs, and our system feeds that signal into the algorithms behind personalized playlists. In this role, you'll partner with product, engineering, and user research to build the technology that powers Discovery Mode. Your focus will be customer engagement and reporting — understanding what customers need, building instrumentation and dashboards for our self-serve product, and running experiments that improve the experience and drive business impact. As part of the Product Insights team, you'll help define the next generation of promotion products for the music industry. What You’ll Do Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists. Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully. Define metrics and build the dashboards we use to measure the health and success of our products. Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products. Contribute to a community of data scientists by evolving best practices and learning new skills. Maintain a culture of rigor and data-informed decision-making to drive tangible business impact. Who You Are Demonstrated ability in a similar Data Science role. Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field. You have experience with product analytics, including crafting success metrics, performing exploratory analysis and presenting findings with clear product recommendations or implications. You have experience as a…