Senior Data Scientist (m/f/x)

Remote

Applications have closed

refurbed

Der Online-Marktplatz für refurbished Handys, Laptops uvm. mit min. 12 Monaten Garantie. Refurbed Geräte sind bis zu 40 % günstiger und nachhaltiger als neu.

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Do you want to use your passion and talent to make consumption sustainable?  

Since 2017, we saved 68000 tons of CO2 and 470 tons of E-waste, while 2 million trees were planted.  

We are passionate about sustainability and we are the fastest growing marketplace for refurbished products in Europe.  

For our Data Science team, we are looking for a Senior Data Scientist (m/f/x). In this position, you will be part of a strong and highly collaborative team of data scientists and data analysts and work on building cutting-edge machine learning models in production that has impact on company revenue.

Together with you and your talent we want to make consumption sustainable and build the leading marketplace for refurbished products in Europe. Join us on our mission! #TalentForFuture

WHO YOU ARE

  • You have an academic degree (ideally a doctorate) in computer science, mathematics, physics or related fields  
  • You have several years of relevant experience in the area of data science and production machine learning solutions (ideally end to end ML processes) 
  • You are fluent in Python 
  • You have strong experience with SQL query logic and Google Cloud Platform 
  • You work in a strongly solution-oriented way and enjoy sharing your knowledge with your colleagues 
  • You have the ability to translate business problems into ML solutions 
  • You care about the world and want to spend your time making a difference 
  • You have excellent English skills 

WHAT YOU'LL DO

  • You will design and develop production level machine learning models
  • You will create monitoring and serving infrastructure
  • You will research and implement appropriate ML algorithms and tools
  • You will run ML tests and experiments
  • You will accelerate model training

WHAT YOU'LL APPRECIATE

  • You will have access to a super strong team of data science, analysts and BI experts who will help you grow professionally 
  • You will have opportunities to learn technical, strategic and analytical skills 
  • You will have access to tons of data to play with & follow your intuition independently 

ADDITIONAL FACTORS WE APPRECIATE

  • You have knowledge of Big Data, PySpark
  • You have experience in the e-commerce sector

 

WHY YOU WILL ENJOY WORKING WITH US 

Our Culture and Values: 

  • Decisions should be made based on facts and not by hierarchy levels? We sure think so! 
  • We embrace giving and receiving feedback, testing and welcoming new ideas, as well as sharing our knowledge across the company. 
  • You fail sometimes? Well, so do we! We’re all just human, let’s not cry about it but learn from our mistakes to improve in the future! 
  • No matter who you love, where you’re from, who you pray to, whether you pee sitting down or standing up – we are a bunch of talented people who enjoy spending our time making a difference! 

Personal & Professional Development:

  • You can take unlimited number of trainings we are offering you through LinkedIn learning.
  • Additionally, we are partnering with Likeminded, offering you private sessions with experts for your personal growth and mental health.

Flexibility: 

  • We trust you to do the best job, so we don't care so much when you do it – you are able to self-organize.
  • Work from home or in our modern and sustainable office in the heart of Vienna – we love dogs, so feel free to bring your furry little buddy too. And yes, there are free fruit, coffee & drinks in the office 😊 

…and much more! See https://careers.refurbed.com/ for further insights! 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Computer Science E-commerce GCP Google Cloud Machine Learning Mathematics ML models Model training Physics PySpark Python Research SQL Testing

Perks/benefits: Career development Health care Snacks / Drinks Unlimited paid time off

Region: Remote/Anywhere
Job stats:  36  11  0
Category: Data Science Jobs

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