Descripción de la oferta
Job DescriptionWe are seeking a dedicated and technically proficient Data Scientist to optimize and advance our customer relationship management (CRM) efforts. The ideal candidate will have strong experience in designing, analysing, and refining CRM campaigns with a focus on improving customer engagement, retention, and monetization. You’ll have a shown ability to apply your skills, be it technical, behavioural or economic, to generate value for the product you’re working on. You’ll help us to further understand, predict, segment, and retain our players and be part of a community of 100+ business intelligence & analytics experts.Role and ResponsibilitiesIn the role as Data Scientist in Consumer Marketing, you will work closely with CRM and events teams leveraging data and analytics to enhance campaign performance to deliver impactful player experiences to improve retention, engagement and monetisation. You will also work closely with other Data Scientists across the business to leverage insights from one game across multiple games.Collaborate with CRM, marketing, and events teams to set up, monitor, and analyse CRM campaigns.Design, conduct, and interpret A/B tests, developing insights to optimize customer journeys and increase overall campaign effectiveness.Use data-driven approaches to refine segmentation, targeting, and personalization strategies.Ensure CRM systems and data are reliable and optimized for tracking key performance metrics.Support the CRM team's technical development, continuously improving tools and methodologies to enhance CRM processes.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.SkillsBusiness 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 decisionsStakeholder Management: The ability to recognize dependencies, form relationships and influence othersDesigning good ways of presenting, visualising or reporting your results/analysis so they are clear and unambiguousStrong skills in SQL and experience with analytical tools such as Python or R.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.CRM Systems: Experience with CRM platforms (Salesforce, Braze, or similar)Experience in behavioural psychology/economics and experimental design, and game theory.Experience in predictive analytics, segmentation, and related areasExperience in the games industry or customer-facing digital businessesWorking knowledge of randomised controlled trials (ex: social science research, medical research, biostatistics, policy research etc.) or digital A/B testing and online controlled experimentsFamiliar with collaborative programming (git is a must) and highly skilled in R or PythonSoftware engineering skills in Java and other languages (beyond R and Python which we use most frequently)
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