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4 дня назад

Senior Data Science Engineering Manager (Marketing)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Science Engineering Manager (Marketing) (AI/Machine Learning): Leading data science and machine learning teams building personalized customer experiences for millions of users with an accent on scalable model development, experimentation, and production systems. Focus on setting technical strategy, guiding end-to-end model deployment, and advancing MLOps, observability, and real-time serving practices.

Location: hirify.global is headquartered in Boston, United States. As a regulated gaming company, the role may require obtaining a gaming license from the appropriate state agency.

Company

hirify.global is a publicly traded technology company operating in the regulated gaming industry and using AI to improve customer experiences and operations.

What you will do

  • Lead, coach, and develop a team of data scientists and machine learning engineers.
  • Set the team strategy, roadmap, priorities, and success measures for personalization initiatives.
  • Partner with Product, Engineering, Marketing, Revenue, and Data Science leaders to connect technical decisions with customer and business outcomes.
  • Guide the design, development, testing, deployment, monitoring, and iteration of machine learning systems.
  • Influence data pipelines, feature generation, experimentation, batch and real-time serving, observability, and model lifecycle management.
  • Own capacity planning and resource allocation while advancing automation, containerization, testing, and reliable production deployment.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field; an advanced degree is preferred.
  • At least 10 years of data science or machine learning engineering experience, including at least 5 years of formal people leadership or management.
  • Experience leading data science or machine learning teams through complex initiatives from technical direction to production deployment and optimization.
  • Advanced proficiency in Python and SQL, plus experience with modern data platforms and cloud environments.
  • Deep knowledge of machine learning systems, statistical modeling, experimentation frameworks, software development lifecycle, DevOps, and MLOps.
  • Strong communication and leadership skills for influencing senior stakeholders and managing technical tradeoffs.

Nice to have

  • Experience in gaming or a related industry.
  • Advanced degree in a relevant field.

Culture & Benefits

  • Focus on AI-driven innovation, technical excellence, experimentation, and continuous improvement.
  • Equal-opportunity employment with a commitment to a discrimination-free workplace.
  • Guidance through the gaming-license process when required for the role.

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