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Lead Data Scientist, Revenue - Ads, Revenue


Overview

In this role you will own Ads optimization, shaping the data science approach for ranking, targeting, pacing, and auction logic within Vinted’s growing Ads ecosystem. You’ll lead model and algorithm development, experiments, and production integration to boost advertiser value, marketplace relevance, and revenue. You’ll work with cross-functional teams to translate business goals into tractable optimization problems and measurable outcomes. This is a hands-on, greenfield opportunity to build high-performance, privacy-conscious ad systems at scale.

Arbeidsvoorwaarden / Benefits
  • share options programme
  • 25 days of paid annual leave
  • Newest MacBook models
  • Digital mental and emotional health support (EAP)
  • Frequent team-building events
  • Home office support budget for equipment
Verantwoordelijkheden
  • Own optimization logic for Ads systems and core optimization problems
  • Design and implement models and algorithms for Ads delivery and optimization
  • Lead experimentation and performance improvement frameworks
  • Define objective functions and constraints balancing advertiser value, revenue, and user experience
  • Perform deep-dive diagnostics of system behavior and performance bottlenecks
  • Partner with engineers and product teams to deploy models and optimization logic
  • Collaborate with analytics and data engineering to ensure robust training data and feedback loops
  • Explain system behavior and impacts to non-technical stakeholders
Belangrijkste vereisten
  • strong applied machine learning and statistics
  • experience with Ad Tech systems and optimization problems
  • good product and business judgment
  • ability to work on production systems with engineers
  • comfort in ambiguous, evolving environments
  • experience in ads ranking, auction systems, pacing and budget optimization, marketplace or recommendation systems, relevance modeling or real-time optimization
  • structured and meticulous working style
  • conscious team player with cross-functional alignment
  • ability to explain ML methods to lay audiences
  • Python
  • SQL
  • BigQuery (advantage)

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