Senior Data Scientist
Moonfrog Labs (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end applied ML work for player personalization, recommendations, payer/value prediction, churn and monetization.
- Turn behavioral data into operational scores or recommendations, and measure their incremental impact through experiments and suitable metrics.
- Partner with Product, Game Design, LiveOps, Analytics and Engineering to deliver models that inform product decisions and improve measurable outcomes.
Minimum Requirements
- Work Experience Required: 4+ years in data science or applied machine learning, including taking models beyond notebooks into product or business decisions.
- Strong Python and SQL; practical experience with feature engineering, supervised learning, model evaluation and relevant ML libraries.
- Solid grounding in probability, statistics and experimentation, including evaluating imbalanced classification, ranking or regression problems.
- Experience working with large behavioral/event datasets, version control and cloud environments (AWS, Azure or GCP).
Ideal Candidate Profile
- Has applied ML experience in free-to-play/mobile gaming or consumer products, particularly recommendations, churn, payer propensity, LTV or lifecycle marketing.
- Can connect player behavior and model outputs to product decisions, user experience and measurable business impact.
- Has experience with advanced methods such as recommender systems, uplift modeling, causal inference or production ML/MLOps; these are listed as advantageous, not required.