Vinted

Decision Scientist, Fulfillment

Vinted WorkFromHome

Stellenbeschreibung:

Join to apply for the Decision Scientist, Fulfillment role at Vinted

Brief Info About Vinted

Our mission is to make second‑hand the first choice, and we're looking for people who want to help us get there. Every day we work together to help our members buy and sell pre‑loved clothing and lifestyle items, giving each piece a second life – or even a third.

Vinted Group

Vinted is made up of three business units that support this mission: Vinted Marketplace – Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items, with a growing range of categories and millions of members across 20+ markets. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high‑value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed, became Lithuania’s first unicorn in 2019, and now has over 2,000 employees worldwide.

Information About The Position

The Fulfilment domain at Vinted Go covers three business lines: offline verification for high‑value fashion and electronics, and a new recommerce initiative to resell orphaned parcels through the marketplace. Two specialised hubs operate in London and Hamburg, handling verification and logistical processes, while the new line will be launched in France (Lille). As a Decision Scientist you will work with cross‑functional product teams—Product Managers, Engineers, and Designers—to detect bottlenecks, propose product improvements, and evaluate initiatives using statistical methods and simulations. You will also become the domain’s go‑to expert for all data‑related ad‑hoc requests and automated reports/dashboards, developing automated tools and measurable metrics that increase decision quality.

Roles in Data Science & Analytics

  • Decision Scientists identify opportunities, size them, and develop automated tools that increase the quality of product and business decisions.
  • Data Scientists design and maintain production‑grade statistical and machine learning algorithms, ensuring algorithmic opportunities are addressed optimally.
  • Analytics Engineers curate data, architect, build, and maintain efficient, reliable data models and pipelines.

In this position, you’ll

  • Collaborate with team and stakeholders to identify opportunities and translate business requirements into data models.
  • Propose and implement business performance metrics and set up monitoring.
  • Enable team and stakeholders to independently leverage data for business insights via self‑service and dashboarding tools (Looker).
  • Ensure new business initiatives are reviewed by a decision scientist and proven impactful.
  • Bring data‑driven ideas to improve hub processes and proactively flag issues.
  • Present ad‑hoc deep‑dives, experiments, dashboards, or recurring analyses in optimal formats.
  • Define A/B testing requirements and analyze test results.

About You

  • A good communicator who can present complex topics clearly and persuasively to different audiences.
  • A proactive individual thriving in a fast‑paced, constantly evolving environment.
  • Passionate about implementing structure where little exists.
  • Fluent in SQL and Python.
  • Hands‑on experience with a BI tool (Looker, Tableau, PowerBI).
  • Statistically proficient (regression analysis, A/B testing).
  • Excellent spoken and written English.
  • Advantageous: familiarity with a data transformation tool (dbt or dataform) and version control (git).

Work perks

  • Opportunity to benefit from share options programme.
  • 30 days of paid annual leave.
  • Newest MacBook models.
  • Digital mental and emotional health support and Employee Assistance Program (EAP).
  • Home office support: IT workstation and budget up to €540 for furniture.
  • A daily lunch allowance.
  • Frequent team‑building events.
  • Personal monthly budget for Vinted shopping.
  • Subsidised gym membership (ClassPass or Urban Sports Club).
  • Subsidised pension plan provided by Vinted.
  • Hallesche Supplemental health insurance.
  • Life and disability insurance.
  • Subsidised Deutschlandticket.
  • Opportunity to spend up to 90 days per year—21 of which can be spent outside the EU—on workation.
  • Dog‑friendly office.

Working at Vinted

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops, and more.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide the exact days you’ll spend working together in person.

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. At Vinted, all applicants are treated fairly without regard to race, age, religion, gender identity, sexual orientation, disability, national origin, citizenship, or any other protected characteristic.

Salary : €57,500 – €77,900 gross per year.

Seniority level : Associate

Employment type : Full‑time

Job function : Engineering and Information Technology

Industries : Software Development

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    21 Dez 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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