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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€87к-127к/год
€88к€120кмедиана€130к
По похожим ролям (15) ~ €120к/год
На СНГ рынке: $5.6к/мес ($4.7к - $7.1к)
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Крутая вакансия
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Влиятельная роль лида в европейском «единороге» с работой над AdTech-проектом с нуля. Отличное сочетание ответственности, современной культуры и крутого соцпакета.
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Сильное влияниеСовременный стекКрутые бонусыПерспективный доменДостойная зарплата
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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