Data Scientist - Mobile Games

August 10

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Carry1st

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Bringing interactive content to Africa and connecting Africa to the world

Social Games • Casual Games • Mobile Games • Technology • In Person Distribution

11 - 50

Description

• Develop core segmentations - LTV, Behavioural - and core predictive models - LTV, Churn, IAP Propensity - to understand player profiles and behaviour • Use the above segmentations and models to develop processes and feedback loops to personalise/optimise LiveOps and UA • Identify opportunities where ML can further automate Growth & Product processes • Explore agent-based modelling and reinforcement learning to simulate gameplay and economy to drive feature and monetisation development • Partner with Product stakeholders and take the technical lead in designing experiments that explore different scenarios and key dependencies • Bank player and game insights to drive Carry1st’s strategic direction via new business models

Requirements

• Degree in Economics, Physics, Statistics, Engineering or similar • Minimum 3 years experience in data science in an operational environment • Strong mathematical and statistical acumen • Solid SQL skills and practical analytics/data science experience with Python • Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds • Ability to effectively communicate complex insights and hypotheses to business stakeholders

Benefits

• Co-working excursions: Travel to meet your colleagues in cities around the world • Awesome equipment: Get everything you need to work effectively • Remote working allowance: Put an additional $600 / year to optimise your WFH experience • Learning and development: Attend courses, conferences and training events • Social events: Participate in regular company events to relax and connect with teammates • Birthday leave: Enjoy a paid day off on your special day