Discuss with stakeholders requirements for analysis
Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems
Communicate results clearly and effectively
Take care of unclear and ambiguous requirements
C ommunicate complex ideas and analyses in a simple way
W ork independently on complex projects
Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science
Be able to use diverse data science tools and approaches
Requirements
A degree or equivalent work experience in data driven field
Ability to use visualization techniques for communicating data and analysis
Experience of using any of the following to answer business or scientific questions - statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.
R/Python experience
Knowledge and experience of SQL
Ability to work a minimum of 3 days a week in our central london office.
Why Product Madness ?
So, what's stopping you?
Travel Expectations
None
Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Benefits
Vision insuranceRemote work options
Additional Information
As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members , understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics.
You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.
Aristocrat · London, UK