Data Scientist, Growth


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Join a second-hand fashion community of more than 45 million members. Give pre-loved fashion a second life and make money selling items you no longer need.

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Vinted is Europe’s biggest pre-loved fashion marketplace, with 45 million members in 15 countries. We want to make second-hand the first choice worldwide.
A team of over 1000 people from Vinted’s offices in Vilnius, Berlin, Prague, Amsterdam, and Utrecht develop and support our platform. We share a unique work culture that’s based on aiming high, taking ownership, co-creating, caring, and growth.
Vinted is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from all suitably qualified persons regardless of their race, colour, national origin, citizenship, sex, gender identity, sexual orientation, religion/beliefs, disability or age. We truly believe when we can be fully ourselves, we work better.
As our new Data Scientist in the Data Science & Analytics department (Growth domain), you’ll be working on a range of projects that will improve the Vinted product with state-of-the-art data solutions and will deliver valuable insights that will determine the course of the company. Growth domain at Vinted is focused on expanding our user base by optimizing the user funnel, ensuring sellers are as successful as they can be, and taking care of efficient geographical expansion and marketing tools.
You will be part of a cross-functional product team working alongside Product Owner, Designer, Decision Scientist and Engineers. You will report to the Manager of Data Science & Analytics, Growth and you will be part of the Vinted Data Science & Analytics Guild with fellow data roles from other domains (i.e. being part of the same guild, you will collaborate and learn alongside other Data Scientists from other domains). The team will be focused on ensuring sellers are as successful as they can be and you should expect to work on discovery and implementation of a range of projects, including image recognition and NLP. 
Within Data Science & Analytics (DSA) we have three distinct roles. We believe that each role can make a similarly sized 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 identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.

In this position, you’ll:

  • Collaborate with your team and partners to proactively identify data science opportunities
  • Ensure these opportunities are addressed in an optimal fashion (e.g. right balance between algorithmic complexity and impact) 
  • Design, build, and maintain statistical and machine learning models for business business understanding or predictive purposes
  • Work together with your team and partners (Product Owner, Designer, Decision Scientist, Engineers) to refine, implement, and test new product features and algorithms

About you:

  • 4+ years working experience in a field related to Data Science
  • Degree in statistics, mathematics, computer science, econometrics, physics, or a similar field
  • Working experience with at least one of the following programming languages: Python, R, Scala
  • Fluent in SQL
  • Understanding of statistics (frequentist, Bayesian, time series), and/or optimization (OR), and/or machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch,, Tensorflow).
  • Work experience with image recognition and/or NLP production-level solutions
  • Business acumen
  • Strong interpersonal skills
  • A good communicator who can present results in an informative and persuasive manner
  • Excellent written and spoken English
  • Advantage: experience working in a tech company or in a cross-functional product development team

Work perks:

  • Opportunity to join our share options programme
  • Learning budget (13.2% from net yearly salary) 
  • Private Health Insurance
  • 25 working days of holiday 
  • Remote workout classes
  • Mental and emotional health support from Mindletic
  • A canteen that serves homemade food at friendly prices
  • Monthly team-building events
  • A personal budget for shopping on Vinted
  • Work anywhere in the EU for 90 days out of the year
  • Dog friendly office
  • Home office support (IT workstation equipment provided + a personal budget of up to 540 € for home workplace furniture)
We are adopting a hybrid workplace model. This means that you’ll spend Tuesdays and Wednesdays working from the office, and for the remainder of your time, you’ll be able to choose between either working from home or the office. The new model will roll out once the pandemic situation is under control and national workplace restrictions are lifted.
The salary range for this position is 3750 - 4600 € (gross) per month.
If this sounds interesting – you may well be just who we need. Please send us your CV (or point us to your LinkedIn profile) and add a brief cover letter – we’d love to hear from you. 
Job region(s): Europe
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