Lead Data Scientist, Trust & Safety

  • Amsterdam, Netherlands
  • Data Science & Analytics
  • Vinted Marketplace

Brief info about Vinted 

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 20 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.   

Vinted Go launched in 2022,  with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.  

The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital. 

Information about the position 

This role will see you become part of Trust Domain'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 shaping our machine learning operations (MLOps) strategy, ensuring 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 Lead Data Scientist, you will collaborate across multiple teams within the Trust domain, ensuring a unified and effective implementation of our machine learning strategy across all projects. By establishing best practices and methodologies, you will play a crucial role in enhancing the domain's effectiveness and safeguarding Vinted. Additionally, you'll be mentoring junior data scientists, guiding them through complex challenges and fostering their professional growth.

In this position, you’ll 

  • Drive the machine learning strategy and set the long-term vision for its role in Trust, ensuring our models adapt to evolving threats while also owning the design and implementation of this vision.
  • Research, design, implement, and maintain diverse machine learning models for the detection of harmful content and behavior within the Vinted Marketplace.
  • Lead the MLOps strategy to ensure models are efficient, scalable, and have strong performance and latency metrics.
  • Mentor and guide junior data scientists, promoting a culture of continuous learning and innovation within the team.
  • 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.

About you 

  • Proven track record in data science (5+ years of experience), with a strong foundation in machine learning, statistics, or computational mathematics.
  • Proficiency in working with both natural language (NLP) and computer vision machine learning models, including experience with the latest tools and methodologies.
  • Deep understanding of model deployment, maintenance, monitoring, and scalability challenges for real-time ML models running in production.
  • Strong mentoring and leadership skills, with a history of successfully guiding junior colleagues.
  • Demonstrated capability in working alongside engineering teams to design and implement efficient data ingestion, feature engineering, and model training pipelines.
  • Excellent problem-solving abilities and a commitment to staying informed about the latest trends and advancements in machine learning and data science.
  • Advanced degree (Master’s or PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred.

Work perks 

  • The opportunity to benefit from our share options programme
  • 25 days of paid annual leave
  • Newest MacBook models
  • Mental and emotional health support through the Mindletic app
  • Frequent team-building events
  • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
  • A daily lunch allowance
  • ClassPass (Gym Membership subsidy)
  • Frequent team-building events
  • Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
  • A personal monthly budget for shopping on Vinted
  • An NS mobility card
  • 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

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

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.

The salary range for this position is 80,800 - €109,300 gross per year.