Data Scientist 1274 views

About the Data team

You’ll be given the resources and data to learn what makes games go all the way from soft launch to industry hit, and the opportunity to help us engage our passionate community in a sector that’s seeing amazing growth. This is a great opportunity for Data Scientists with interest in Machine Learning algorithms, as the Data Team is currently developing new predictive features, and knowledge transfer is one of our core values. As the largest games analytical firm globally, collecting ~100,000 events per second, resulting in new 700Gb of (compressed) new data per day!

REQUIREMENTS

Responsibilities

• Work closely with our product team to develop new and interesting features for our core analytics platform
• Build solutions for but not limited to: customer segmentation and targeting, propensity modeling, churn modeling, lifetime value estimation, forecasting, recommendation systems, modeling response to incentives, and price optimization
• Structure experiments and build mathematical models to identify game optimisations points which will help game developers improve player experience
• Ad-hoc analysis of game data and market behavior of the mobile games industry
• Provide testing techniques and methodologies in order to assess impact and effectiveness of business initiatives.
• Prototype new ways to visualise and understand data relationships

Skills and Qualifications

Essential

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab. Excellence in at least one of these is highly desirable
• Great communication skills
• An expert in SQL and RDBMS concepts, including experience in working with large data sets
• Good scripting and programming skills using languages like Java, Scala, Python, R or Perl.
• Experience working with data pipelines and modeling in a production environment
• Experience of visually communicating results and working alongside designers

Desirable

• Experience working with data pipelines and modeling in a production environment
• Experience of visually communicating results and working alongside designers

BENEFITS

• Food, snacks and drinks
• A fun and supportive working environment.
• Office in Central London (with bike racks) and entertainment area incl. newest consoles and popular games.
• Opportunity to work with the biggest and most innovative gaming companies in the world
• Number of paid holidays (25) excluding bank holidays.
• Working from home policy