Job Description:

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.Kobalt’s founding vision is to make the music industry fairer and more rewarding for our creators. As a Senior Data Scientist at Kobalt, you’ll share this vision, working with stakeholders and engineers across the business to build production-grade ML solutions to ensure that our creators are fairly compensated.

With access to vast quantities of data from music streaming platforms from across the world, you’ll work with other Data Scientists and engineers to solve problems within the music industry. Key use cases include our entity linkage service to optimise royalty collection, data-driven talent scouting, music revenue forecasting and anomaly detection.

Essentials:

An excellent grasp of the Python data stack: pandas, numpy, scipy and sklearn

A 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

The ability to write reliable, well-tested, maintainable code that will stand up in a production environment

A strong grasp of SQL for retrieving, transforming and cleaning data

Excellent organisational skills

Comfortable articulating analytical results and modelling approaches clearly and concisely to a wide range of audiences

Thrives in a collaborative atmosphere, working with multidisciplinary teams to drive data products and solutions

Nice to haves:

Familiarity with the AWS ecosystem

PySpark and Scala would be great assets

A good understanding of containerisation (Docker)

Experience deploying machine learning models in a production environment

Experience with data visualisation tools

A love of music and a keen desire to work in the Music industry

What you will get in return:

The 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

The chance to mentor and develop others eager to learn, making use of your extensive experience and domain knowledge

An environment where learning and development is encouraged and expected, with access to self study services

Flexible / hybrid working arrangements. We have an office in London for those who need it and we try to meet as a team for planning and social activities where we can

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

A great salary in addition to a generous pension scheme (up to 5% matched)

What do we offer:

Salary Range: Discuss with the Talent Partner.

Flexible working. KTech operates with a hybrid working policy (fully remote possible).

25 days annually. 1 additional wellbeing day per quarter. Half day summer Fridays (July and August) & Christmas closure.

Meeting free Fridays afternoon outside of the summer months. We use this as dedicated learning time.

5% pension contribution.

Health Insurance.

Interview Process and our commitments to you:

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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