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3 дня назад

Forward-Deployed Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward-Deployed Data Scientist (AI): Designing and building end-to-end machine learning solutions for 1-to-1 personalization with an accent on reinforcement learning and full ML pipeline ownership. Focus on developing scalable AI features, optimizing customer-facing ML models, and shaping the hirify.globalAI product strategy.

Location: Hybrid, Tokyo

Company

hirify.global is a leading customer engagement platform that leverages hirify.globalAI to help brands deliver personalized 1:1 customer experiences.

What you will do

  • Design reinforcement learning (RL) use cases from scratch to optimize real business value and marketing journeys.
  • Build and manage the complete ML pipeline, from raw data transformation to model training and activation.
  • Provide ongoing technical guidance to customers to ensure successful AI adoption and measurable outcomes.
  • Develop new features and tools to scale the capabilities of the AI deployment team.
  • Partner with the Product team to advance reinforcement learning algorithms.
  • Contribute to the hirify.globalAI product strategy and roadmap using customer-facing insights.

Requirements

  • Must be based in Tokyo to work in a hybrid setup.
  • Bachelor's degree in Computer Science, Data Science, Mathematics, or Engineering (Master's or PhD preferred).
  • 3–5+ years of experience as a Data Scientist or ML Engineer working with large-scale data and production environments.
  • Proficiency in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
  • Strong SQL skills for dataset manipulation and experience in model deployment.
  • Adherence to engineering best practices including Git, CI/CD, and testing frameworks.

Nice to have

  • Experience with DevOps tools such as Airflow, Kubernetes, Terraform, or GCP.
  • Expertise in data integration, ETL, and pipeline optimization.
  • Practical knowledge of reinforcement learning algorithms.

Culture & Benefits

  • Competitive compensation package, including equity and Employee Stock Purchase Plans.
  • Comprehensive health benefits covering medical, dental, vision, life, and disability.
  • Flexible paid time off and family services, including fertility benefits and paid parental leave.
  • Professional development support with a yearly learning stipend and formal career pathing.
  • Collaborative, transparent culture recognized as a Great Place to Work.

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