Description
My Client a rapid growing game company is looking for a data Scientist to join their team based in Central London on 6 month contract paying £ a day.You will:
- Identify potential business opportunities within your area and scope/design approaches to capture those opportunities
- Translate business needs to technical requirements and AB-tests, and work with development teams to ensure correct implementation, specifically including correctly tracking the right information to allow easy, precise analysis of the impact
- 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, quickly, even when confronted by subtle data complications
- Provide an analytics perspective to discussions and prioritisation within your team, so that the overall team selects the right ideas to work on
- Be the pro-active owner of the entire data chain for your game(s)
Skills
You will need to demonstrate the ability to learn quickly and work in a fast paced and collaborative environment whilst communicating effectively with teams and individuals across the company - such as Game Developers, Business Performance Managers and Marketeers.
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 deeply understand the problems and issues our games and business wants to solve and therefore define for yourself the right data or analysis or interpretation to lead to the right recommendations and decisions
- 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 or machine learning techniques to use in different circumstances.
- Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguous
If the above is you please get in touch with your latest CV