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Data Scientist

Amsterdam, Netherlands Marktplaats
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With over 8 million unique visitors and 5 million monthly new ads, Marktplaats is the largest online trading platform in the Netherlands. Consumers and professional sellers offer a large and varied assortment of products. Almost everybody in the Netherlands is able to tell an inspiring story of what they have bought or sold on Marktplaats. In order to keep delivering a great experience to our customers, we are constantly evolving our platform. The company is a mix of Dutch and Silicon Valley cultures; like both, we are an international team of passionate people who share a common interest in solving problems using software and data. We invite you to join us.

About the company

Marktplaats is part of eBay Classifieds, an innovative leader in online classifieds with ten brands that span the globe. Our platforms help people find whatever they are looking for in their local communities – whether it’s a job, an apartment, a sofa, a car, a concert ticket, financial services or new friends. Every connection made or item found makes a difference by crafting a world where people share more and waste less.

About the role 

Inspiring our users with great recommendations. Using machine learning to optimise the search experience of buyers. Brainstorming about new ways we can improve Marktplaats with data models. 

Does this sound exciting? As a data scientist, you will work on models that improve the user experience on our platform. You are involved in all phases of creating data products, from understanding the business need and data exploration, to the productionizing of the models that create an impact on the lives of so many people. 

You will work in a multidisciplinary team with fellow data scientists and engineers, together you are responsible for building and improving these models that change our platform. You also drive a data-driven mentality by presenting your work to the company and brainstorming with teams on the endless possibilities of data. 

What you’ll do

  • Find opportunities to improve our platform with data products

  • Build data products that impact our users, from data exploration through model selection and evaluation to implementation

  • Improve the way of working in the team by contributing to our data capabilities

  • Drive the data-driven mentality of the company by presenting and brainstorming about data and its possibilities

What you can expect from us

  • A collaborative, dynamic and international work environment with self-organised, multi-disciplinary agile teams

  • Managers and teammates who are invested in your technical and personal growth

  • Access to great tools and resources to do your job (a.o. best-in-class laptop)

  • Work on interesting models, like recommender systems, ranking, clustering and NLP

  • Being part of a global data community

  • Visible impact some of the most beloved brands in the Netherlands, Belgium and beyond

What you’ll need

  • 1-3 years of experience in data science

  • M.Sc. degree in computer science, mathematics, econometrics, physics or other quantitative field

  • Experience with Python

  • Knowledge of Machine Learning techniques, e.g. NLP, clustering and recommender systems

  • Experience with big data technologies, tools and languages, e.g. Hadoop, Hive, Spark and MLFlow

  • Strong drive to understand our data and users and build impactful data products 

  • Good communication (written/verbal) and presentation skills in English

eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

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