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Responsibilities
- Develop core segmentations and predictive models to understand player profiles
- Use segmentations and models to personalize/optimize LiveOps and UA
- Identify opportunities for ML to automate Growth & Product processes
- Explore agent-based modelling and reinforcement learning for game simulation
- Partner with Product stakeholders to design experiments and explore scenarios
- Bank player and game insights to drive 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 problem-solving skills
- Ability to communicate complex insights and hypotheses to business stakeholders
Benefits
- Build industry-changing products every day
- Grow with a VC-backed startup in gaming, fintech, and web3
- Work from anywhere in the world with international teammates
- Own shares in the Company to benefit from the value you create
- Co-working excursions to meet colleagues in various cities
- Awesome equipment for effective work
- Remote working allowance of $600/year
- Learning and development opportunities including courses and conferences
- Social events and birthday leave
