As a Decision Scientist at Vinted Go, you will join the Data team at the heart of building the in-house logistics carrier of Vinted. You’ll join the VCarrier DSA Intelligence Team that has another 8 Data colleagues supporting direct Operations and Network Development questions.

You‘ll collaborate directly with the Strategic Operations and Planning Team (S&OP). The S&OP team acts as a bridge between commercial growth, financial planning, and physical logistics operations where your primary focus will be to take our current forecasting workflows and scale them for the next stage of growth. You will mature existing forecasting methodologies into automated, code-based pipelines, build robust systems to track and validate forecast accuracy, and continuously identify opportunities to improve these models.

At Vinted, we have three distinct roles within DSA. We believe each role can make a similar business impact in different ways, and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

• Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
• Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and 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 optimally, and designing, developing, and maintaining production-grade statistical and machine learning algorithms.

• Partner with the Strategic Operations and Planning Team to improve their operational forecasting that makes Vinted Go Carrier more efficient.
• Evolve existing forecasting models into robust, automated, code-based pipelines (Python, SQL, dbt) that can scale dynamically across our European logistics network.
• Design and implement automated feedback loops to measure forecast accuracy (e.g., comparing planned vs. actual volumes across different hubs, service areas, and timeframes).
• Partner with Operations and other Decision Scientist in the team to analyse historical forecast deviations, identify root causes and new opportunities.
• Work with Data Scientists to continuously improve forecast precision by introducing new variables, data dimensions and advanced modeling techniques.

• Have a strong technical background through a degree in Computer Science, Mathematics, Engineering, Logistics or a related field.
• Experience with Python and SQL; you write clean and structured code that others can understand and interpret.
• You are an effective communicator: you can persuasively explain technical concepts and their business implications to non-data stakeholders.
• Knowledge of statistical methods, regression analysis, forecasting and other inferential techniques.
• A proactive team player who identifies when their work affects others in the team and aligns accordingly.
• Advantage: Experience working in Logistics and/or operations research area.
• Fluent written and spoken English.

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Lunch benefit per working day
• Access to a discounted gym membership plan
• A personal monthly budget for shopping on Vinted
• Collective Defined Contribution Pension plan
• NS Business Card for your commute to the office by public transport
• 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

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.