6 дней назад
Data Science and AI Builder
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Data Science and AI Builder (AI/Gaming): Building production-ready machine learning models and analytical products from game, player, and operational data with an accent on feature engineering, rigorous evaluation, and business-oriented decision support. Focus on productionizing models, monitoring data quality and drift, and applying LLM and agent capabilities to improve workflows or products.
Location: Onsite in Tel Aviv, Israel
Company
SciPlay develops and publishes free-to-play mobile and web games, including social casino and casual titles played by millions of people worldwide.
What you will do
- Translate business questions into measurable modeling objectives, hypotheses, baselines, and success criteria.
- Prepare and explore game, player, and operational data, including label definition, feature engineering, and data-quality analysis.
- Build and compare models for regression, classification, clustering, forecasting, anomaly detection, ranking, and segmentation.
- Design robust evaluations using holdout sets, cross-validation, backtesting, error analysis, and business-relevant metrics.
- Collaborate with product owners, analysts, game teams, and operations to connect model performance with business outcomes.
- Deliver production-ready solutions with testing, documentation, versioning, deployment, and monitoring.
Requirements
- 2–3 years of experience in applied data science, machine learning, or a related field, including ownership of at least one model through development and evaluation.
- Strong Python and SQL skills with hands-on experience using pandas, NumPy, scikit-learn, or similar libraries.
- Solid foundations in statistics and model evaluation, including sampling, cross-validation, leakage, class imbalance, uncertainty, and causal limitations.
- Practical experience with forecasting, anomaly detection, classification, regression, segmentation, or ranking.
- Hands-on experience with AI tools such as Claude, ChatGPT, Codex, or similar tools for building working products.
- Experience productionizing models through scheduled workflows, services, or APIs and monitoring data quality, model performance, drift, and failures.
Nice to have
- Experience in mobile gaming, social casino, live operations, game analytics, or another data-intensive consumer product domain.
Culture & Benefits
- Full-time onsite work in Tel Aviv.
- Collaboration with product, analytics, game, and operations stakeholders.
- Work on data-intensive mobile and web gaming products.
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