Data Scientist - Live Games

Your role within our Kingdom

If you want to improve the experience of King’s 300 million+ players across our network of games, then this may be the right opportunity for you. You’ll help us to further understand, model, predict, segment and retain our players. You will be part of a community of 80+ business intelligence & analytics experts, while working on a daily basis in smaller teams of 6-8 people. As a data scientist at King, your role will be focused on particular games, our network or specific business areas.

Specifically, you’ll:

Identify potential business opportunities and scope/design approaches to capture those opportunities
Translate business needs to technical requirements and AB-tests, then work with development teams to ensure correct implementation and tracking
Develop an analysis strategy and perform analysis of complex scenarios and AB-tests, both systematically and on a one-off basis.
Carefully check, debug, and problem solve issues to ensure you deliver accurate and clear analysis and reports, even when confronted by subtle data complications
Provide an analytics perspective to discussions and helping to drive the priorities within your team
Be the pro-active owner of the entire data chain for your game(s)

You have a passion for quantitative analysis, understanding player behaviour and will have the ability to draw business insights which will add real value to King. You will need to demonstrate the ability to learn quickly and will have worked in a fast paced and collaborative environment. This role will involve working with teams and individuals across King - such as Game Developers, Business Performance Managers and Marketeers, so excellent communication skills are essential.

Business Insight: The ability to understand the problems and issues our games and business wants to solve, and then defining the right data, analysis or interpretation to lead to the right recommendations and decisions
Player behavior: Understanding the players’ motivation is key to design valuable tests and interpret results
SQL: The ability to write complex SQL queries to analyse our databases with 300+ million players, and work effectively with both Hive and relational database systems
Analytical coding: Using tools such as R, Python (and also Excel) for analytical purposes
Stats: Understanding the appropriate statistical techniques to use in different circumstances
Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguous
There is plenty of scope at King for you to learn from your colleagues in the areas where you have less experience, and to share your own skills where you are stronger.

[...] experience in the games industry or similarly sophisticated customer-facing digital businesses; experience in “big data” systems such as Hadoop, Hive; experience in behavioural psychology/economics; robust understanding of more advanced statistical techniques suitable for analysis of highly skewed populations; experience in predictive analytics, segmentation, and related areas; experience in experimental design; software engineering skills in Java and other languages [...] read more on our website

We’re knights of creativity!

We believe that great gaming experiences happen when they are developed by working in small, autonomous creative teams that control the whole process – from idea to amazing game. Our close connection with the player community gets us instant feedback and enables us to deliver truly magical moments. We value your free time and your need to refuel, relax and find inspiration – by playing games with your colleagues, being at home with your family or going to the gym or out for a run. That's how we stay creative. That’s why we call ourselves developers of magic and knights of creativity!