Senior Data Scientist - Platform Team

CaliAlfa (Previously Alfabet) · herzliya

The Platform team builds the data foundations and AI models powering a betting platform with 12M+ active users. You'll own key initiatives across user segmentation, LTV prediction, and fraud detection - taking models from initial concept to production. You'll work closely with Data Engineers building the underlying pipelines and the MLOps team responsible for deployment and monitoring. What You'll Do: User Segmentation: Develop value, behavioral, and risk segments to support trading, marketing, and customer support. LTV Prediction: Predict player lifetime value, starting from the early stages of an account. Fraud Detection: Identify payment fraud, chargebacks, abnormal traffic patterns, and blocked users who re-register. Advanced ML & LLMs: Apply advanced machine learning and LLMs where they make sense, including building LLM-powered workflows and agents. Feature Engineering: Build and develop the features your models rely on, in collaboration with Data Engineers. Production & Monitoring: Deploy, monitor, and improve models in production together with the MLOps team. Requirements: 5+ years of applied Data Science experience, with models running in production. Strong experience with advanced ML techniques on imbalanced datasets (e.g., fraud, risk, churn, or LTV). Hands-on LLM experience beyond basic use cases: experience building and deploying LLM-powered workflows or agents. Strong Python and SQL skills, with Databricks or Snowflake experience in production. Solid understanding of offline model evaluation and the ability to translate business questions into models and measurable metrics. Nice to have: Experience in fraud detection, risk modeling, or AML. Background in iGaming, fintech, or another regulated environment.

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