Senior Data Scientist, Trust & Safety at Vinted · Kaunas

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. 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.

Information about the position

You’ll join Trust & Safety’s Actioning team, whose mission is to protect the Vinted community from harmful activities and content. The team owns critical mechanisms, including user reporting, moderation workflows, policy enforcement, and interventions against malicious users.

You will leverage your expertise in machine learning to research, design and implement new models for report and appeals prioritization, advanced sanctioning based on users' suspicions, and automation of moderation decisions. This involves working closely with our engineering teams to develop robust pipelines for data handling, feature engineering, model training, deployment, and continuous improvement.

As a Senior Data Scientist, you will utilize advanced machine learning techniques to analyze text, images, and other data formats, tackling complex challenges to identify and address content that poses potential risks. You will champion best practices and methodologies, significantly enhancing the team's effectiveness and safeguarding Vinted. You will mentor others, influence the strategic direction for model development, and facilitate cross-functional collaborations to drive impactful results.

In this position, you’ll

• Lead the research, development, and end-to-end lifecycle of production machine learning models that prioritize and automate actions on harmful marketplace entities at scale.
• Play a crucial role in establishing and refining essential machine learning processes, such as data versioning, creating labeling pipelines, and ensuring high-quality data availability for effective model training.
• Actively collaborate across teams, particularly with Data Infrastructure and backend engineers, to develop and maintain scalable data pipelines and infrastructure, ensuring optimal performance and scalability of deployed models.
• Influence and contribute to the strategic roadmap for the Actioning team, collaborating with Decision Scientists to test, assess, and continuously improve new models.

About you

• Proven track record in data science (4+ years of experience), with a strong foundation in machine learning, statistics, or computational mathematics.
• Proficiency in both classical and deep learning techniques, and an adeptness in leveraging the latest tools and methodologies to solve complex problems.
• Hands-on experience building and deploying agentic AI applications or LLM-powered workflows that handle large traffic, balancing quality, latency, and cost efficiency.
• Deep understanding of the challenges involved in deploying, maintaining, and scaling real-time ML models in production, with a proven ability to address these challenges effectively.
• Proven capability to work with engineering teams, designing and implementing efficient data ingestion, feature engineering, and model training pipelines that support robust and reliable model deployment.
• Excellent problem-solving abilities, with a commitment to staying at the forefront of developments in machine learning and data science, driving innovation and thought leadership within the team.
• Ability to clearly communicate complex ideas and technical concepts to both technical and non-technical stakeholders, ensuring that technical elements are properly understood and integrated to deliver business value.
• Past experience with fraud detection, harmful content detection or any other adversarial domain would be considered an advantage.

Work perks

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Pension plan with flexible contribution options and a matching contribution from Vinted
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• A dog-friendly office
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast

Working at Vinted

Workation policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual learning budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid work

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal opportunity

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!

The gross monthly salary range for this position is:

€4.608—€6.233 EUR