Lead Data Scientist, Revenue - Ads, Revenue at Vinted | Berlin, DEU | Rezi

Lead Data Scientist, Revenue - Ads, Revenue at Vinted

Lead Data Scientist, Revenue - Ads, Revenue

Vinted · Berlin, DEU

1 months ago

Lead Data Scientist, Revenue - Ads, Revenue

Vinted · Berlin, DEU

2 months ago
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About the Role

Vinted's Revenue domain is seeking a Lead Data Scientist to join their Ads team. This role will focus on developing an advertising ecosystem within Vinted, optimizing real estate, and evolving towards a high-performance, privacy-respectful, in-house advertising system. The position is ideal for someone who has built performance-first Ad optimization systems and is ready for hands-on work while shaping Data Science roadmaps from the ground up.

Responsibilities

  • Own optimization logic for Ads systems, including ranking, targeting, pacing, budget allocation, candidate selection, and auction or bidding logic.
  • Develop practical approaches to improve advertiser performance, marketplace relevance, and business outcomes.
  • Design, develop, and iterate models and algorithmic approaches for Ads delivery and optimization, including prediction, scoring, calibration, exploration/exploitation methods, and constrained optimization.
  • Own the analytical and experimental process for improving optimization systems, defining hypotheses, evaluation frameworks, and translating learnings into system improvements.
  • Help define optimization objectives that balance advertiser value, revenue, user experience, and operational constraints.
  • Own deep-dive analysis of system behavior and performance degradation, identifying limiting factors and proposing solutions.
  • Partner with engineering and Decision Scientists to implement models and optimization logic.
  • Collaborate with Product Managers, Decision Scientists, Analytics Engineers, and developers to shape advertiser-facing features and internal optimization capabilities.
  • Ensure optimization changes are evaluated with appropriate metrics, guardrails, and marketplace context.
  • Partner with Analytics Engineering, Data Engineering, and backend teams to ensure data suitability for robust optimization work.
  • Explain system behavior, performance drivers, and expected impacts of optimization changes to non-technical stakeholders.

Requirements

  • Strong applied machine learning and statistical skills.
  • Experience with Ad Tech systems and optimization problems.
  • Strong product and business judgment.
  • Comfort working on production systems with engineers.
  • Ability to operate effectively in ambiguous, evolving domains.
  • Experience in ads ranking, auction systems, pacing and budget optimization, marketplace or recommendation systems, relevance modeling, or other real-time optimization environments.
  • Well-versed in Python and SQL.
  • Structured, meticulous way of working.
  • Conscious team player who proactively aligns with others.
  • Ability to explain machine learning methods to lay audiences.
  • Solid written and spoken English.

Skills

  • Machine Learning
  • Statistical Analysis
  • Ad Tech
  • Optimization
  • Python
  • SQL
  • BigQuery

Location

  • Vilnius

Work Type

  • Hybrid

Experience Level

  • Lead

Salary/Compensations

  • €90.100—€132.500 EUR

Benefits

  • Share options programme
  • 30 days of paid annual leave
  • Newest MacBook models
  • Digital mental and emotional health support and Employee Assistant Program (EAP)
  • Home office support (IT workstation equipment and a personal budget of up to €540 for home workplace furniture)
  • Lunch benefit per workday
  • Frequent team-building events
  • Personal monthly budget for shopping on Vinted
  • Access to a discounted gym membership plan
  • Pension Plan with Vinted matching 150% of your chosen contribution
  • Supplemental Private Health Insurance
  • Life and Disability insurance
  • Subsidised Deutschlandticket for commute
  • Up to 90 days per year on workation (21 of which can be spent working outside of the EU)
  • Dog-friendly office
  • Individual Learning Budget

About the Company

  • Vinted's mission is to make second-hand the first choice.
  • Vinted Marketplace is Europe’s leading platform for second-hand fashion.
  • Vinted Go enhances the shipping experience with a vast network of pick-up and drop-off points.
  • Vinted Pay provides secure, reliable payments to buyers and sellers across Europe.
  • Founded in 2008 in Lithuania, Vinted became Lithuania's first unicorn in 2019.
  • Headquarters remain in Vilnius, with offices across Europe and a team of over 2,000 people.

Equal Opportunity

  • The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging.
  • We welcome applications from people of all backgrounds, identities and life experiences.
  • All applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.