Expert Data Scientist

4 days ago

Stockholm, Stockholm, Sweden Midasplayer AB Full time

We are looking for a dedicated and creative Data Scientist interested in building, defining and pushing the boundaries of game analytics and A/B test analysis for Candy Crush Saga You'll have a shown ability to apply your skills, be it technical, behavioural or economic, in order to generate value for the product you're working on. 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.

Role and Responsibilities

In the role as Data Scientist, you will work closely with game designers and product teams to scope and design tests to identify potential opportunities (e.g. player behaviour, game economy). You will also work closely with other Data Scientists across the business to leverage insights from one game across multiple games. As well as being a communicative role, you will also:

  • Design, monitor, analyse and communicate results for A/B tests, and proactively develop new analyses, experiments and data-driven tools to help the business evolve and seize new opportunities.
  • Provide a business analytical perspective to discussions and help to drive the priorities within your game.
  • Be self-motivated to learn and support the technical development of the team.
  • Help evolve the methodology and tools available to King's data science community.
  • Communicate, visualise and report your findings in a clear and unambiguous way to people with diverse degrees of numerical proficiency.
  • Ensure that the data required to understand how our players interact with the game is available and reliable.
  • Be able to systematically break complex and abstract problems into solvable questions.
Skills & Communication
  • Business Insight: The ability to identify 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.
  • Stakeholder Management: The ability to recognize dependencies, form relationships and influence others.
  • Designing good ways of presenting, visualising or reporting your results/analysis so they are clear and unambiguous.
Technical Skills
  • SQL: The ability to write efficient SQL queries to extract relevant data from our databases with 300+ million players.
  • Analytical coding: Using tools such as R or Python for analytical purposes.
  • Stats: Understanding the basics of appropriate statistical or machine learning techniques.
  • Familiarity with massive data sets and tools to deal with them (e.g., BigQuery/AWS/Hadoop).
  • Standard reporting tools such as Looker/Tableau/etc.
Bonus Points
  • Experience in behavioural psychology/economics and experimental design, and game theory.
  • Experience in predictive analytics, segmentation, and related areas.
  • Experience in the games industry or customer-facing digital businesses.
  • Working knowledge of randomised controlled trials (e.g., social science research, medical research, biostatistics, policy research etc.) or digital A/B testing and online controlled experiments.
  • Familiar with collaborative programming (git is a must) and highly skilled in R or Python.
  • Software engineering skills in Java and other languages (beyond R and Python which we use most frequently).
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