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Lead Data Scientist (Ads)

86 600 - 127 400€
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Netherlands
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
Lead Data Scientist (Ads): Building and optimizing an in-house advertising ecosystem for a marketplace with an accent on ranking, targeting, pacing, budget allocation, and auction logic. Focus on designing production machine-learning systems, balancing advertiser value, revenue, user experience, and operational constraints, and diagnosing performance across complex marketplace dynamics.

Location: Amsterdam, Netherlands. Hybrid work with 2 recommended office days per week; remote work is available under the stated EU and global workation policy.

Annual gross salary: €86,600–€127,400, excluding 8% holiday pay.

Company

hirify.global is a second-hand marketplace connecting millions of members across more than 20 markets, with additional shipping and payment businesses across Europe.

What you will do

  • Own the data science approach for Ads optimization, including ranking, targeting, pacing, budget allocation, candidate selection, and auction or bidding logic.
  • Design, develop, and iterate prediction, scoring, calibration, exploration-exploitation, and constrained optimization models.
  • Lead experimentation, evaluation frameworks, metrics, guardrails, and performance improvement initiatives.
  • Define objectives balancing advertiser value, revenue, user experience, and operational constraints.
  • Diagnose delivery, relevance, auction, supply-demand, and model performance issues, and propose solutions.
  • Partner with Product, Decision Science, Analytics Engineering, Data Engineering, backend, and development teams to move optimization logic into production.

Requirements

  • Strong applied machine learning and statistical skills.
  • Experience with Ad Tech systems and optimization problems, such as ads ranking, auction systems, pacing and budget optimization, marketplace or recommendation systems, relevance modeling, or other real-time optimization environments with multiple objectives.
  • Strong product and business judgment, with the ability to work on production systems with engineers in ambiguous and evolving domains.
  • Well-versed in Python and SQL.
  • Structured and meticulous approach to testing different methods toward a defined goal.
  • Ability to collaborate proactively and understand how work affects other team members.
  • Ability to explain machine-learning methods to non-technical audiences.
  • Solid written and spoken English.

Nice to have

  • Experience with BigQuery.

Culture & Benefits

  • Hybrid work model with flexibility to work from home and recommended office attendance two days per week.
  • Workation policy allowing up to 90 days per year in the EU, including up to 21 global days; non-EU citizens can work worldwide for up to 21 days.
  • 25 days of paid annual leave, pension plan, lunch benefit, flexible benefits budget, and work-from-home allowance.
  • Share options, learning budget starting at €3,000 per year, and up to 10 development days over two years.
  • Home-office equipment support, including up to €540 for furniture, plus a MacBook, mental-health support, bike leasing, and public-transport support.
  • Frequent team-building events and a dog-friendly office.

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