Business Operations and Analytics
Permanent | Full Time
Senior Data Scientist
We are looking for a hardworking and creative Data Scientist interested in pushing the boundaries of games analytics within the Farm Heroes Franchise located in our London Game studio. You'll have a proven ability to apply your skills, be it technical, behavioural or economic, to generate value for the studio's new generation of awesome mobile games.
Your Role Within Our Kingdom
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.Specifically, you'll:
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 portfolio of games in the StudioTranslate 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
Work closely with other Data Scientists across the business to leverage insights from one game across multiple gamesCarefully check, debug, and problem solve issues to ensure you deliver accurate and clear analysis, reports and tools, even when confronted by subtle data complications
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
Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguousSQL: 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.Other experience that might be helpful, but is not required, includes:
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.
Keep Calm and waka waka...