Carry1st is Africa’s leading publisher of mobile games and digital content. Operating at the intersection of games, publishing, and fintech, we scale awesome content in frontier markets by solving hard problems. Across our publishing and Pay1st business lines, we are partnered with top global game companies like Riot Games, Activision, and Stillfront. We are backed by top investors like: a16z, Bitkraft, Google, Konvoy, Riot Games, Sony and Nas.
As Sr Data Scientist, you will be responsible for driving enjoyable player experiences and sustainable player LTV. You will translate in-game behavioural data, progression trends, and purchase propensities into segmentations and models for LiveOps personalisation and UA optimisation.
You will be involved in simulating game engagement and game economy - supporting our Product teams in driving game evolution to success. As a senior member of our Data org, you will work closely with our VP Data in scaling data science as our titles multiply.
You will …
- 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
What makes you a great candidate?
- 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
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