Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are looking for a Decision Scientist to join the Support Agent Tooling team within the Help Experience domain. This cross-functional team builds and improves systems, workflows, and analytical foundations to help support agents resolve member issues efficiently while maintaining a high-quality member experience. This role is for someone who can independently own analyses, contribute to product and operational decisions, and work closely with various stakeholders. The Support Agent Tooling directly affects both member experience and support efficiency, aiming to make signals reliable, understandable, and useful for decision-making.

Responsibilities

Develop and maintain relevant metrics and frameworks to track product performance.
Explore opportunities within prioritized areas to communicate actionable analytical insights.
Design, run, and analyze experiments (A/B tests) to validate the value and business impact of product changes and tooling enhancements.
Collaborate cross-functionally to drive the process of setting team Key Results (KRs) and targets.
Challenge decisions and hypotheses to optimize impact and maintain a strong member focus.
Collaborate across teams, proactively aligning when work touches other areas of Help Experience, support operations, or data infrastructure.
Build maintainable analytical workflows using SQL and Python, following good standards for code quality, reproducibility, documentation, and privacy.

Requirements

Proven experience in a Decision Science or Data Analytics role.
Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact.
Strong communicator who can convincingly present results to both technical and non-technical audiences.
Fluent in English, both written and spoken.

Skills

Statistical methods
A/B tests
Regression analysis
Causal inference
Inferential techniques
SQL
Python
BI tools (e.g., Looker, Tableau, Power BI)

Location

Vilnius

Work Type

Hybrid Work

Experience Level

Proven experience in a Decision Science or Data Analytics role

Salary/Compensations

€74.000—€110.000 EUR

Benefits

Share options programme
30 days of paid annual leave
Newest MacBook models
Mental and emotional health support through the Mindletic app
Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture
A daily lunch allowance
Frequent team-building events
A personal monthly budget for shopping on Vinted
A subsidised gym membership with ClassPass or Urban Sports Club
A subsidised pension plan provided by Vinted
Hallesche Supplemental health insurance
Life and disability insurance provided
A subsidised Deutschlandticket
The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
A dog-friendly office
Individual Learning Budget

About the Company

Vinted's mission is to make second-hand the first choice.
The Vinted Group consists of Vinted Marketplace (Europe’s leading platform for second-hand fashion), Vinted Go (enhancing the shipping experience), and Vinted Pay (dedicated to secure payments).
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.
At Vinted, 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.