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5 дней назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
France/Singapore/Canada
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
Data Scientist (AI) (Machine Learning/Gaming): Building and operating AI-powered products for player engagement and business value with an accent on recommendation engines, propensity modelling, and Next Best Action decisioning. Focus on deploying production-grade models, expanding agentic workflows, and translating stakeholder needs into scalable data science solutions.

Location: Office-based in Singapore, Canada, or France

Company

hirify.global is a global video game company developing original AAA and live-service gaming experiences, including Assassin’s Creed, Rainbow Six, Just Dance, and Skull and Bones.

What you will do

  • Design, build, and maintain production machine learning models and AI products that create measurable value for players and the business.
  • Develop personalization and decisioning systems, including recommendation engines, segmentation models, propensity scoring, and Next Best Action frameworks.
  • Support AI agent architectures and automation workflows that expand intelligence capabilities at scale.
  • Translate stakeholder needs into pragmatic, well-scoped solutions while balancing model sophistication, delivery speed, and operational sustainability.
  • Collaborate with data analysts, data engineers, game designers, producers, and product stakeholders to integrate and operationalize models.
  • Contribute to the roadmap for AI product opportunities across player engagement scenarios and game franchises.

Requirements

  • At least 3 years of experience in applied data science or machine learning, with a record of shipping models or AI products to production.
  • Strong Python skills, including production-grade development beyond notebook prototypes, plus solid SQL skills.
  • Hands-on experience with machine learning frameworks such as scikit-learn, LightGBM, PyTorch, or Spark ML.
  • Expert-level proficiency in Databricks and/or Snowflake, including model deployment and management in a cloud data platform.
  • Experience with Git and collaborative development workflows.
  • Strong communication, collaboration, and pragmatic problem-solving skills across technical and non-technical disciplines.

Nice to have

  • Experience with personalization engines, recommendation systems, or player decisioning frameworks.
  • Experience with Adobe Marketing Cloud, Salesforce, Pega, Braze, or similar marketing decisioning platforms.
  • Experience designing AI agent architectures, agentic workflows, LLM-based agents, or tool-use frameworks.
  • Experience with MLflow, Delta Lake, Snowflake Cortex, Databricks Genie, APIs, or model-serving endpoints.
  • Interest in games, entertainment, or consumer-facing digital products.

Culture & Benefits

  • Work in a diverse, international game development environment with more than 30 nationalities represented in the Singapore studio.
  • Contribute to safer, more inclusive gaming experiences and a more inclusive workplace.
  • Participate in initiatives supporting local communities and reducing the environmental impact of the business.
  • Join a product-minded team focused on shipping measurable outcomes rather than experimentation alone.

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