At Kobalt, our Data Scientists wear many hats. They’re change agents, using their passion to proactively help to improve our processes, practices, infrastructure, architecture and services.
They’re experts with deep technical knowledge and extraordinary problem solving skills, which they use to influence and support the business in decision making and in coming up with innovative solutions to new problems. They’re mentors and inspirational figures to engineers that thrive on learning and development. They use their clear vision and industry knowledge to contribute to Technology and Product roadmaps. They own the technology strategy and communicate it clearly to the rest of the organisation.
They do all of this and somehow still manage to have great impact as individual contributors of code, frameworks and tools.
Kobalt’s tech platform, KTech, is currently responsible for sending worldwide notifications of all clients’ songs; and it delivers albums, singles and videos to a whole host of digital services, including iTunes, Spotify, YouTube and many others. It also licenses use of clients work in TV, Film, Games and Adverts. Once all of that has been done, it then has the not-so-small job of processing the millions of resulting payments.
This is an established yet fast growing creator-centric company of artists and songwriters including The Chainsmokers, Kelly Clarkson, Miles Davis, Dave Grohl, Lauv, Zayn Malik, Max Martin, Nick Cave & The Bad Seeds, Paul McCartney, Stevie Nicks, Pitbull, Elvis Presley, Skrillex, Sam Smith, and many more. Kobalt represents on average over 40% of the top 100 songs and albums in both the US and UK.
What you will bring to us:
Extraordinary problem solving skills to constantly improve our platforms and spearhead technological innovation
Depth and breadth of Machine Learning expertise coupled with experience of bringing solutions from ideation to production using a variety of ML frameworks (e.g. MLlib, tensorflow, pytorch…). Experience in Entity Matching/Record Linking and Graph Databases a definite plus
Appreciation for software design, simplicity, scalability, re-usability and reliability
Breadth of experience coupled with strong computer science and engineering fundamentals, enabling you to navigate, extend and re-invent complex systems
Passion for metrics and data-driven decision making
Relentless desire to continuously improve not just the services but also the processes and culture within the organisation
Deep understanding of Data at scale, including its collection, governance and processing at scale (e.g. using tools such as Spark, Hadoop, Storm or Kafka)
Contributions to the technology community through open source, publications, speaking or university lecturing.
What you will get in return:
The autonomy to have tremendous impact in shaping the strategy and the future of a global, leading multi-rights platform, handling billions of transactions.
The opportunity to work alongside incredibly creative people across the entire business, and to have an impact on the lives of creators all over the world
The freedom to work on projects outside your immediate area of focus
The chance to mentor and develop others eager to learn, making use of your extensive experience and deep domain knowledge
An environment where learning and development is encouraged and expected, with access to self study services
Regular Tech Meetups hosted in the office on a range of topics from Scala to Agile Leadership
Wellbeing - we care about your physical and mental health and offer you subsidised gym memberships, a cycle to work scheme, sports clubs, office yoga and (almost) daily meditation classes
A great office with everything you need to do your job and enjoy your place of work including free healthy (and unhealthy) snacks, fresh fruit and cereal, fantastic open space on our roof and shower facilities
Our infamous Kobalt Socials including quarterly-company wide rooftop parties and regular team socials, beers/wine/soft drinks on a Friday and the odd famous person doing a gig in our kitchen
A great salary in addition to a generous pension scheme (up to 5% matched)
Peace of mind - we offer comprehensive health cover
Instructions how to apply Apply at this url: https://Jobhunt.ai/machinelearning-ml-ai-job-ng-Senior-Data-Scientist-London-Kobalt-Music-Group.html Please mention that you found the job at Jobhunt.ai
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