Назад
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13 дней назад

Senior Data Scientist (Trust & Safety)

67 700 - 91 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Scientist (Trust & Safety) (Machine Learning/LLM): Building production machine learning models and scalable data pipelines to prioritize reports, automate moderation decisions, and protect a second-hand marketplace with an accent on adversarial content detection, real-time model deployment, and data quality. Focus on designing end-to-end ML systems, analyzing text and images, balancing quality, latency, and cost in LLM workflows, and guiding model strategy across teams.

Location: Amsterdam, Netherlands; hybrid work with 2 recommended office days per week. Remote work is available for up to 90 days per year in the EU, including 21 days globally; non-EU citizens may work worldwide for up to 21 days per year.

Annual gross salary: €67,700–€91,500, excluding 8% holiday pay.

Company

hirify.global operates a European marketplace for second-hand fashion and lifestyle items, with additional shipping and payment businesses across Europe.

What you will do

  • Lead the research, development, deployment, and continuous improvement of production machine learning models for prioritizing reports and automating actions against harmful marketplace entities at scale.
  • Design and refine data versioning, labeling pipelines, and data-quality processes for model training.
  • Collaborate with Data Infrastructure and backend engineering teams to build and maintain scalable data pipelines and ML infrastructure.
  • Develop models that analyze text, images, and other data formats to identify harmful or risky content and users.
  • Collaborate with Decision Scientists to test, assess, and improve models while contributing to the Actioning team’s strategic roadmap.
  • Mentor colleagues, promote ML best practices, and influence model-development strategy and cross-functional collaboration.

Requirements

  • 4+ years of experience in data science, with a strong foundation in machine learning, statistics, or computational mathematics.
  • Proficiency in classical and deep learning techniques, including the use of current tools and methodologies for complex problems.
  • Hands-on experience building and deploying agentic AI applications or LLM-powered workflows handling large traffic while balancing quality, latency, and cost efficiency.
  • Deep understanding of deploying, maintaining, and scaling real-time machine learning models in production.
  • Experience designing and implementing data ingestion, feature engineering, and model training pipelines with engineering teams.
  • Strong problem-solving skills and commitment to current developments in machine learning and data science.
  • Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and connect technical work to business value.

Nice to have

  • Experience with fraud detection, harmful content detection, or another adversarial domain.

Culture & Benefits

  • Hybrid work model with recommended office attendance two days per week and a workation policy.
  • 25 days of paid annual leave, work-from-home allowance, and home-office equipment support with a furniture budget of up to €540.
  • Learning budget starting at €3,000 per year and up to 10 working days over two years for professional development.
  • Share options, pension plan, employee assistance program, lunch benefit, and flexible benefits budget.
  • MacBook, public-transport NS Business Card, bike leasing, hirify.global shopping budget, team-building events, and a dog-friendly office.

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