pythonsqlstatisticsllmmachine learninggaminggenerative aieconometricscausal inferencerecommender systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden чётко описана senior-роль с актуальными задачами в машинном обучении, экспериментах и генеративном ИИ; основные компромиссы - работа только в офисе и широкий набор направлений.
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Актуальные технологии
Крупный игровой продукт
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (AI) (Gaming): Analyzing large-scale datasets and developing data-driven solutions for gaming through machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics with an accent on forecasting and actionable business insights. Focus on building complex data products, applying modern AI and LLMs to real-world gaming problems, and collaborating with product and engineering teams.
Location: Amsterdam, Netherlands. Onsite.
Company
hirify.global Games develops, operates, and publishes cross-platform games and provides interactive entertainment experiences to more than 800 million users across over 200 countries and regions.
What you will do
Analyze large-scale datasets to solve complex business and technical challenges in gaming.
Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that improve business value.
Deliver actionable business insights to internal and external stakeholders.
Track advances in data science, machine learning, and generative AI and apply them to gaming use cases.
Share technical knowledge, document work, and collaborate across teams.
Requirements
M.S. or Ph.D. degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, or Machine Learning.
Experience with statistical analysis, including probability, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, and A/B experiments.
Proficiency in Python and SQL.
Strong communication, collaboration, and execution capabilities, together with business acumen.
Passion for games and the gaming industry.
Nice to have
Experience building complex data products and machine learning systems on large datasets.
Hands-on experience with fraud detection.
Strong understanding of modern AI and LLMs, with hands-on experience applying them to real-world problems.
Culture & Benefits
Equal employment opportunity and an inclusive environment supporting diverse voices.
Cross-team collaboration focused on innovation and serving players and the wider community.
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