Data Scientist, Trust & Safety, Trust & Safety

You'll become part of Trust's Detection team, with a mission to protect the Vinted community from harmful activities and content. The Detection team in the Trust domain is engaged in detecting, understanding, and stopping dangerous or inappropriate content and behaviour within the Vinted Marketplace.

You will leverage your expertise in machine learning to research, design, implement, and maintain our detection models. You will play a critical role in ensuring that our models are not only accurate but also efficient and scalable. 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 Data Scientist, you will leverage user behaviour data for feature engineering and model development to detect malicious use of our platform. Additionally, you will improve the pipelines of our current models and by establishing best practices and methodologies, you will play a crucial role in enhancing the domain's effectiveness and safeguarding Vinted.

In this position, you'll

• Research, design, implement, and maintain diverse machine learning models for the detection of harmful content and behaviour within the Vinted Marketplace.
• Contribute to the foundational machine learning aspects, including data versioning, labeling pipelines, and ensuring high-quality data for model training.
• Collaborate with the Data Infrastructure team to build and maintain data pipelines, tools, and infrastructure necessary for efficient model training, monitoring, deployment, and iterative improvement.
• Together with backend engineers, you will ensure high performance and scalability of our deployed models.
• Work together with Decision Scientists to test and monitor new models., * 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

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 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.

Do you have experience in Scalability?, * Previous data science experience and a foundation in machine learning, statistics, or computational mathematics.

• Proficiency in working with gradient boosting, natural language processing (NLP) and deep learning models, including experience with the latest tools and methodologies.
• Understanding of model deployment, maintenance, monitoring, and scalability challenges for real-time ML models running in production.
• Demonstrated capability in working alongside engineering teams to design and implement efficient data ingestion, feature engineering, and model training pipelines.
• Problem-solving abilities and a commitment to staying informed about the latest trends and advancements in machine learning and data science.
• Preferred: experience with using user sequence data for the development of ML models.

Vinted is Europe’s biggest pre-loved fashion marketplace, with 45 million members in 15 countries. Our mission is green: we want to make second-hand the first choice globally.

A team of over 800 people from Vinted’s offices in Vilnius, Berlin, Prague and Utrecht develops and supports our platform. We have a unique work culture that’s based on aiming high, taking ownership, co-creating, caring, and growth.

We code with impact!