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Data Scientist Internship (m/f/x)

Intern / Student, Full-time · Vienna

refurbed

We are the fastest growing marketplace for refurbished electronics in the German-speaking region and are based in Vienna. Through our marketplace, completely renewed electronics like phones, laptops and tablets that are 40% cheaper and 100% more sustainable are sold to consumers.

We founded the company in February 2017 and grew to more than 100 employees in less than three years and expanded to Italy, Poland and further European countries already. Along the way we won several awards, completed two large funding rounds and have already sold hundreds of thousands of products, which makes us one of the fastest growing startups in Europe right now. Our team has extensive international experience in the refurbishment industry, how to create a brand and how to scale a marketplace.

We are now hiring a smart graduate / young professional to work very closely with data science team to support developing anomaly detection algorithm, dynamic pricing, recommendation engine and research proposal writing.

Together with you we want to build the leading marketplace for refurbished electronics in Europe.

Who you are
  • You have post-graduate qualifications in STEM fields (e.g. data science, analytics, statistics, operations research etc.)
  • You have strong Python coding skills 
  • You love to work with data 
  • Your English skills are close to those of a native speaker
  • You work independently and goal oriented
  • You are a creative problem solver with strong analytical and statistic skills
  • You are very curious and want to understand what the data tells you
  • You want to grow fast and take on responsibility
  • You don’t use the term “That doesn’t work”
  • You care about the world and want to spend your time making a difference
What you'll do
  • You work very closely with the analytics and data science team
  • You support developing anomaly detection model 
  • You support finding insight
  • You work on preparing data and implementing the machine learning models
  • You experience first hand how to grow a startup with a big mission
  • You collaborate with marketing department in testing phase
  • You grow & learn to become a future Data Scientist in the company
Additional factors we appreciate
  • You have experience in data modelling (e.g. internship projects, university projects)
  • You are familiar with anomaly detection modelling and dynamic pricing
  • You are skilled in R or SQL
Why you should work with us
  • Startup atmosphere
  • International team & culture
  • Strong marketing team and extensive resources
  • Team activities & events
  • Flexible working hours
Your application

You want to build the leading marketplace for refurbished electronics in Europe and change the world by making it easier to sell sustainable products? Then apply now.

Please include a cover letter, references and any relevant projects you want us to look at.

For legal matters, we state that the minimum wage for this position is €23,800 gross per year. However, depending on your qualification, a higher salary obviously is very likely.

Your application!
Thank you for your interest in refurbed. We are extremely happy that you are thinking about joining us and can identify with our mission.

We will do our best to always keep you informed about the process and progress of your application. We read all applications thoroughly and will also consider you for other job openings, should your profile fit other open positions as well.

We are an equal opportunity employer. We will consider your application regardless of race, age, disability, gender, martital status, heritage, religion and nationality. We will look at your experience, your personality and your motivation to determine whether this job is right for you.

Please upload your CV, recent certificates as well as a brief cover letter (in total max. 20 MB).
Please note, that it is not necessary to upload any passports, work permissions or other personal data for the first steps in your application.

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