Junior Data Scientist

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.

While we certainly don’t expect you to have all of these skills from day one, we do expect you to learn and develop in each of the following five areas:

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

Specific experience that might be helpful, but is not required, includes: 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 (beyond R and Python which we use most frequently); skills with standard reporting tools such as QlikView/Tableau/etc.

Personal Attributes

Smart - intellectual dexterity
High integrity
Low ego
Pragmatic problem-solver - someone who looks for solutions rather than worrying about problems

Officially, we’re a leading interactive entertainment company for the mobile world. Unofficially, we’re a serious business that’s not afraid to have fun. Every day at King, we mix intuition with logic, art with science and magic with mathematics to create the games the world loves to play. Together with our parent company Activision Blizzard, our mission is to bring moments of magic to everyday life. If you think this is something you can help us achieve, let’s talk.