Senior Data Scientist

Summary

Join Kobalt as a Senior Data Scientist and contribute to a fairer music industry. You will build production-grade ML solutions for royalty collection optimization, talent scouting, revenue forecasting, and anomaly detection using vast music streaming data. Collaborate with data scientists and engineers to solve industry problems. Leverage your Python data stack expertise, statistical reasoning, and machine learning skills to create reliable, maintainable code. Communicate analytical results effectively and thrive in a collaborative environment. Kobalt offers flexible/hybrid work arrangements, wellbeing initiatives, a generous pension, and health insurance.

Requirements

• Excellent grasp of the Python data stack: pandas, numpy, scipy, and sklearn
• Deep understanding of statistical reasoning and the ability to design and run relevant experiments
• Experience with leveraging a wide range of machine learning approaches to solve relevant problems
• Ability to write reliable, well-tested, maintainable code that will stand up in a production environment
• Strong grasp of SQL for retrieving, transforming, and cleaning data
• Excellent organizational skills
• Ability to comfortably articulate analytical results and modeling approaches clearly and concisely to a wide range of audiences
• Ability to thrive in a collaborative atmosphere, working with multidisciplinary teams to drive data products and solutions

Responsibilities

• Build production-grade ML solutions to ensure creators are fairly compensated
• Solve problems within the music industry using vast quantities of data from music streaming platforms
• Optimize royalty collection using entity linkage service
• Contribute to data-driven talent scouting
• Develop music revenue forecasting models
• Implement anomaly detection systems
• Write reliable, well-tested, maintainable code for a production environment
• Retrieve, transform, and clean data using SQL
• Articulate analytical results and modeling approaches clearly and concisely to various audiences
• Collaborate with multidisciplinary teams to drive data products and solutions

Preferred Qualifications

• Familiarity with the AWS ecosystem
• Experience with PySpark and Scala
• Good understanding of containerization (Docker)
• Experience deploying machine learning models in a production environment
• Experience with data visualization tools
• Love of music and a keen desire to work in the Music industry

Benefits

• Opportunity to shape technical strategy and work alongside incredibly creative people across the entire business, and to have an impact on the lives of creators all over the world
• Chance to mentor and develop others eager to learn, making use of your extensive experience and domain knowledge
• Environment where learning and development is encouraged and expected, with access to self-study services
• Flexible/hybrid working arrangements
• Wellbeing initiatives (subsidized gym memberships, cycle to work scheme, Calm App, and other benefits)
• Great salary in addition to a generous pension scheme (up to 5% matched)
• Health Insurance
• 25 days annual leave
• 1 additional wellbeing day per quarter
• Half-day summer Fridays (July and August) & Christmas closure
• Meeting-free Friday afternoons outside of the summer months (dedicated learning time)
• 5% pension contribution