Decision Scientist, Fulfillment

VINTED; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading second-hand marketplace is seeking a Decision Scientist in London to drive impactful analysis across various business lines. This role involves collaborating with cross-functional teams to identify opportunities, improve processes through data-driven insights, and ensure business initiatives are effective. If you're proactive and skilled in SQL and Python, apply for a chance to influence a fast-changing environment.

Benefits

Share options programme

30 days paid annual leave

Home office support

Daily lunch allowance

Subsidised gym membership

Dog-friendly office

Qualifications

• Fluent in SQL and Python.
• Hands-on experience with BI tools.
• Statistically proficient in analysis.

Responsibilities

• Identify opportunities and gather business requirements.
• Propose and implement performance metrics.
• Ensure impactful assessment of business initiatives.

Skills

SQL

Python

Communication

A/B Testing

Regression Analysis

Tools

Looker

Tableau

PowerBI

Job description

Brief info about Vinted

Our mission is to make second‑hand the first choice, and we are 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 is made up of three business units that support this mission. Vinted Marketplace is Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points. 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. In 2019, we became Lithuania’s first unicorn! Today, our headquarters remain in Vilnius, and we have grown with offices across Europe, supported by a team of over 2,000 people. Our backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.

Information about the position

The Fulfilment domain at Vinted Go covers three business lines: Offline verification for high‑value fashion(1) and electronics(2) as well as our newest recommerce initiative(3). The first two operate very similarly: We are currently operating two specialised hubs in London and Hamburg where the offline‑verification services as well as the entire logistical process surrounding these services take place (e.g., admitting and re‑packaging the item). The third business line is just about to start and we aim to utilise Vinted’s marketplace to resell orphaned parcels and scale the needed logistics in France (Lille) accordingly.

As a Decision Scientist in this fast‑expanding domain, you can drive significant impact across all three business lines as part of a cross‑functional product team – working alongside Product Managers, Engineers and Designers. You will report to the team lead of Data Science & Analytics (Vinted Go Fulfilment).

In this role, you leverage your proximity to the data to proactively conduct analysis to detect potential bottlenecks, product improvements or new business opportunities and evaluate initiatives using statistical methods and simulations. Concurrently, you will serve as the domain’s go‑to expert for all data‑related ad‑hoc requests and automated reports/dashboards, leveraging a deep, comprehensive understanding of the verification hub processes.

This job position offers the best of two worlds: a dynamic environment of a fast‑changing startup where you can bring in your own ideas with the stability and resources of an established, profitable enterprise. Within Data Science & Analytics at Vinted, we have three distinct roles. We believe that each role can make a similarly‑sized business impact, and therefore our salary ranges are the same for all three roles. To better understand your role as a Decision Scientist, here are brief descriptions of each role in the department:

Decision Scientist role description

• Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and developing automated tools that increase the quality of product and business decisions by applying statistical methods and data‑driven decision making.
• Data Scientists are responsible for identifying algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, developing and maintaining production‑grade statistical and machine learning algorithms.
• Analytics Engineers are responsible for data curation: Translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.

In this position, you’ll

• Collaborate with your team and direct stakeholders to identify opportunities and to gather business requirements which you then translate into data models
• Propose and implement business performance metrics and set up monitoring
• Enable your team and direct stakeholders to independently leverage data for business insights via self‑service and dashboarding tools (Looker)
• Ensure new business initiatives have been reviewed through the eyes of a decision scientist and proven impactful
• Bring in data‑driven ideas to improve the processes in the hubs and proactively flag issues
• Ensure requests are answered and presented in an optimal fashion (e.g., in the form of an ad‑hoc deep‑dive, experiment, dashboard, or automatically recurring analysis)
• Define the requirements for A/B testing and analyse the results of the tests

About you

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

Work perks

• The opportunity to benefit from our 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: we provide 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

Working at Vinted

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 on 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 their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.