Senior Data Scientist

Do you want to help Candy Crush Soda Saga players enjoy their game even more? What about having a direct impact in what millions of people are playing?
We are looking for a talented and creative Senior Data Scientist to join the Candy Crush Saga team. You will be working with varied stakeholders in a fun, dynamic and fast- paced environment. You’ll help us to further understand, model, predict, segment, and retain our players and be part of a community of 100+ business intelligence & analytics experts.
This role can be based from Barcelona, London, or Stockholm
Your role within the Kingdom
As a Senior Data Scientist in the Candy Crush Soda Saga team, you will be working with varied stakeholders in a fun, dynamic and fast-paced environment. You’ll help us to further understand, model, predict, segment and retain our players and be part of a community of 100+ business intelligence & analytics experts.
Translate business needs to technical requirements and AB-tests, and work with development teams to ensure correct implementation, taking care to correctly track the right information to allow easy, precise analysis of the impact
Proactively develop new analyses, experiments and data-driven tools to better understand our players’ behaviour and the performance of our games
Provide insights to support decision making for the game
Work closely with other Data Scientists across the business to leverage insights from one game across multiple games
Help evolve the methodology and tools available to King’s data science community
Carefully check, debug, and problem solve issues to ensure you deliver accurate and clear analysis, reports and tools, even when confronted by subtle data complications



Skills to create thrills
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.
Specific factors that are helpful to excel in this role include:
Business Insight: The ability to understand the problems and issues our games and business wants to solve, and then defining the most appropriate data, analysis or interpretation to lead to the right recommendations and decisions
Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguous
SQL: The ability to write complex SQL queries to analyse our databases with 300+ million players and work with relational database systems.
Analytical coding: Using tools such as R, Python or Excel for analytical purposes
Stats: Understanding the basics of appropriate statistical or machine learning techniques.
Work in the games industry or similarly customer-facing digital businesses
Familiarity with massive data sets and tools to deal with them (BigQuery/AWS/Hadoop etc)
Experience in behavioural psychology/economics and experimental design
Experience in predictive analytics, segmentation, and related areas
Software engineering skills in Java and other languages (beyond R and Python which we use most frequently)
Skills with standard reporting tools such as Looker/QlikView/Tableau/etc.