Lead Data Scientist

Summary

The job is for a Lead Data Scientist at Napster, a leading independent music streaming service. The role involves building and mentoring a team, developing advanced search algorithms, machine learning models, and personalizing user experience. The candidate should have a PhD in Computer Science or related field, 5+ years of experience as a Data Scientist, proficiency in machine learning algorithms, natural language processing techniques, excellent communication skills, and a passion for music.

Requirements

• PhD in Computer Science, Statistics, or a related field (or equivalent experience)
• 5+ years of experience as a Data Scientist or similar role
• Proven experience in leading and mentoring a team of data scientists
• Strong expertise in machine learning algorithms (classification, regression, recommendation systems, etc.)
• Experience with natural language processing techniques
• Proficiency in data wrangling, cleaning, and manipulation
• Excellent communication and collaboration skills

Responsibilities

• Build and mentor a team of junior data scientists, fostering a collaborative and learning environment
• Define the technical vision and roadmap for the data science team, aligning it with overall product goals
• Design and develop advanced search algorithms, including user vector-based models and AI-powered search functionalities
• Develop and implement machine learning models to personalize user experience, improve content recommendations, and optimize platform performance
• Conduct rigorous data analysis to identify trends, understand user behavior, and extract valuable insights
• Collaborate with product managers, engineers, and designers to define data requirements and translate business objectives into actionable data science projects
• Communicate complex technical concepts to a non-technical audience in a clear and concise manner
• Stay up-to-date with the latest advancements in data science, machine learning, and natural language processing, and explore opportunities to integrate new technologies
• Develop and maintain strong data pipelines to ensure data quality and accessibility
• Champion best practices in data science methodology and documentation

Preferred Qualifications

• A passion for music and a strong understanding of the music streaming industry (a plus)
• Experience working remotely and effectively collaborating with globally distributed teams

Benefits

• Competitive salary and benefits package
• Opportunity to work on cutting-edge technologies and make a real impact on the future of music streaming
• Generous PTO policy including 10 company holidays
• Flexible work hours
• Work from home with a 100% distributed team