Senior Data Scientist
4 weeks ago
Senior Data Scientist - Music Industry Expert
About the Role:Kobalt Capital Ltd is seeking a highly skilled Senior Data Scientist to join our team. As a Senior Data Scientist, you will play a key role in building production-grade ML solutions to ensure that our creators are fairly compensated.
You will work with stakeholders and engineers across the business to design and run relevant experiments, leveraging a wide range of machine learning approaches to solve problems within the music industry.
Key Responsibilities:- Design and implement ML solutions to optimize royalty collection, data-driven talent scouting, music revenue forecasting, and anomaly detection.
- Collaborate with Data Scientists and engineers to solve complex problems and drive data products and solutions.
- Develop and maintain reliable, well-tested, maintainable code that will stand up in a production environment.
- Articulate analytical results and modelling approaches clearly and concisely to a wide range of audiences.
- 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.
- Strong grasp of SQL for retrieving, transforming, and cleaning data.
- Excellent organisational skills.
- Opportunity to shape technical strategy and work alongside incredibly creative people across the entire business.
- 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 - we care about your physical and mental health and offer you subsidised gym memberships, a cycle to work scheme, Calm App, and other benefits.
- Great salary in addition to a generous pension scheme (up to 5% matched).
- We are committed to completing the process in 3 working weeks and are willing to be flexible to meet the candidates requirements.
- We are also committed to providing feedback on each interview no longer than 48hrs after the interview via email, telephone call, or ZOOM.
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