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Applied Data Scientist / Machine Learning Engineer

  • Location

    Munich, Bayern

  • Sector:

    Data Analytics, Data Science

  • Job type:


  • Salary:

    €70000.00 - €90000.00 per annum + benefits

  • Contact:

    Daniel Butler

  • Email:


  • Job ref:

    JN -072021-88821_1627571648

  • Published:

    6 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Data Scientist / Machine Learning Engineer - Python, Scikit-learn, Spark, TensorFlow, Munich, English

One of our leading customers in Munich is looking for an experienced Data Scientist to join their talented team.

This business is travel tech company; running a search engine for holiday rental homes and apartments.

Having had a hugely successful past two years, the company has received a large amount of funding and is looking to grow it's tech team.

In this role, you would work closely with other data scientists and backend developers; responsible for delivering an unbeatable product that offers the best experience for users.

You'll be developing and improving machine learning company wide.

This role would include using large datasets to create valuable models that will be used by millions of users.

For this role position, the company is looking for someone with excellent experience working as a Data Scientist; tackling business challenges using Machine Learning methods and techniques.

Know-how in how to optimize models to meet time-restrictions of a search engine is something that would be beneficial.

Experience in Python development as well as tools including Pandas, Scikit-learn, Spark or TensorFlow is really important.

This is a chance to join a fantastic business that has an impact on millions of people using their product every month.

They are a multicultural business that offers responsibility and personal development from day one.

If this role and business sounds interesting to you, please apply and we'll schedule a call soon to discuss further.

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.