Senior Data Scientist (ML/DS Platform Team)

at  Kingcom

Available in 5 locationsAvailable in 5 locations
Category Data, Analytics & Strategy
Job ID R023965
Regular

SKILLS TO CREATE THRILLS

• Good understanding and hands-on experience with Python
• Good understanding of the day to day life of a Data Scientist / ML Engineer
• DevOps experience, such as CI/CD solutions and infrastructure as code
• Knowledge in how to write services and create reusable libraries
• Self-starter with a great drive and a curious and inquisitive mind-set
• Willing to step outside your comfort zone to broaden your skills and learn new technologies
• Highly collaborative work style and open to share your knowledge, receiving and giving feedback, performing code reviews and so on
• You will need to be able to work independently on complex problems and be able to clearly communicate your ideas and solutions.

MAKING THE WORLD PLAYFUL

Making the World Playful is our mission – it’s the thread that connects our people, our players, and our passion for our games. Let’s face it, who doesn’t love a bit of fun?
Kingsters are seriously playful: creative thinkers who balance art and science to bring moments of magic to millions daily. But our players aren’t the only ones that can level-up. We’re always looking for ways to champion each other and make what’s already great, even better.
So, if this feels like a fun way to spend your days, and you share our passion, our values, and our hunger to shape the future, join us in Making the World Playful.
Applications need to be in English.
Discover King at careers.king.co

ABOUT THE ROLE

King makes great games that offer fun, bite-size entertainment experiences for everyone to enjoy.
We are looking for an experienced data scientist to join our Data Science Platform team, which is part of the Machine Learning platform organization. The team consists of a mix of very experienced data scientists and ML Engineers / developers. The team’s main focus is providing data scientists in the game teams at King with efficient and reliable tooling to boost their productivity, as well as catering to the explorative phases of building machine learning models. We have a tight collaboration with other teams in the ML organization which have responsibility for the later phases of the machine learning life-cycle.
One of the team’s main product is an internal Notebook platform built on top of the open source Jupyter projects, but extended and customized to integrate with other internal tooling, but also to help data scientists establish good workflows for other aspects of their job, such a CI/CD solutions when building internal packages, training on standard methodologies inside King etc.
We are looking for a great teammate who wants to help to empower our user base, which is counted in the hundreds of users, both by hands on building solutions but also identifying what recommended workflows should be.
We strive to not reinvent the wheel but rather to use existing open source and commercial products when possible, but often also need to write code to properly integrate both internal and external solutions in an effective manner for our users.