Data Scientist
Skills
Programming LanguagesAnalyticsArtificial IntelligenceData ModelingEmotional IntelligenceModelingMusic Technology
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years professional experience in a data science discipline in one or more commercial sectors.
- Minimum 2.1 degree in a scientific/mathematical discipline (STEM)
- Preferably an MSc or other postgraduate degree in a quantitative discipline
- Experience in several predictive modeling and machine learning techniques
- An inquisitive mind and is a practical problem solver
- A strong communicator who can easily and quickly understand the needs of different audiences
- Ability to interact with individuals from a diverse professional background, including music, psychology, engineering and business
Nice to have
- Experience in music, psychology and emotion
- Image processing
- Affective computing
Day to day
- Design, build and execute data collection and data manipulation pipelines required to build and operate the Cantine suite of tools.
- Perform feature extraction and feature engineering from audio files and other sources required to train and deploy our predictive models.
- Apply a range of standard and advanced data science algorithms to train, validate and implement the Cantine model suite.
- Perform model monitoring, providing key performance indicators to inform the need for new models or new data.
- Support the engineering team in accurate implementation of the models and their downstream use in the Cantine product suite.
- Support the wider data science team in providing business-focussed insight.
- Perform ad-hoc analysis as required to support commercial initiatives.