Senior Data Scientist, Vinted Go Carrier Technology
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. The 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, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
- 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. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
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've 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.
As a Senior Data Scientist at Vinted Go, you will join the Data team at the heart of building the in-house logistics carrier of Vinted. You’ll collaborate closely with a team of 20+ Data colleagues to develop and deploy machine learning, optimisation and simulation applications that directly power Vinted Go Carrier Product and Operations. This role is about more than just building models; you will contribute to establishing Vinted Go Carrier Data Science capability from the ground up and co-create data science road-map alongside data, product, engineering and operations colleagues.
You will have an opportunity to tackle a broad range of high-impact logistics and transportation data science challenges, such as driver routing, network and warehouse simulations, network capacity and scoring, robotics optimisation, shipping fraud detection, forecasting etc. You will own a subset of these complex problems end-to-end, from scoping through to implementation - proactively identifying ways to maximize your own impact by aligning technical solutions with Vinted Go’s strategic objectives.
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.
In this position, you’ll
- Partner with Product, Engineering, Operations, and other Data Scientists to co-create a data science roadmap that leverages machine learning, optimisation and simulation solutions to scale Vinted Go Carrier
- Design and implement end-to-end data science models focusing on logistics and transportation applications, moving from initial scoping to proof of concepts and production-grade solutions
- Contribute state-of-the-art knowledge about data science algorithms to ensure the competitiveness of Vinted Go through technology
- Work with Decision Scientists to conduct experiments on new machine learning features or data science models, both offline and through A/B tests
- Partner with Engineers and Data Platform on the operationalisation of the data science products leveraging a modern tech stack including an in-house machine learning platform, Google Cloud Platform, Python, and dbt
- Partner with Product and Operations on the estimation of opportunity sizes for data science initiatives
- Lead in domain-level initiatives on data science and AI
Work perks
- The opportunity to benefit from our share options programme
- 25 working days of holiday
- Newest MacBook models
- Free access to an office gym
- Mental and emotional health support through the Mindletic app
- Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- Private health insurance
- On-site canteen serving delicious homemade food at friendly prices
- Frequent team-building events
- A personal monthly budget for shopping on Vinted
- 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
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 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.
The salary range for this position is € 4,600 - € 6,200 gross per month.
About you
- Have a strong technical background through a degree in Computer Science, Mathematics, Mechanical Engineering, or a related field
- Extensive experience developing and productionising data science algorithms; you are comfortable choosing the right machine learning, optimisation, or simulation techniques independently
- Expert in Python and SQL; you write clean, maintainable, and structured code that serves as an inspiration for others
- You are an effective communicator: you can persuasively explain complex technical concepts and their business implications to non-data stakeholders
- Proven ability to own a data science problem end-to-end, from scoping to implementation and monitoring without requiring constant oversight
- Able to break down complex problems into manageable pieces and estimate project timelines while accounting for delivery uncertainty
- A proactive team player who identifies when their work affects other domains and aligns cross-functionally
- Fluent written and spoken English
