Logo

DO THE JOB YOU LOVE,
EXACTLY THE WAY YOU LOVE IT.

YOU ARE MORE THAN A JOB!
 

We at WPS Management are looking for people who share our passion for software development and our values, who bring in their own ideas in order to be able to develop visions together. TEAMWORK plays an essential aspect for us and an African proverb sums it up! 'If you want to go fast, go alone. If you want to go far, go together.'

The WPSM job portal allows you to easily send your application online - without detours directly to us.
Now it's your turn! READY FOR A MATCHING? - FIND YOUR TEAM
 

Data Scientist / Python Engineer (m/f/d)

scheme image
#WE LOVE PROCUREMENT

WPS Management GmbH is an owner-run company with over 20 years of experience in the purchasing market and a pioneer in the field of e-procurement. With our innovative products, we develop and implement solutions to cover all requirements in the source-to-pay area, making us one of the international market leaders.

In our team of more than 150 employees, you can take on responsibility early on and contribute your own creative ideas. You will benefit from experienced, helpful colleagues, continuous training, authentic corporate communication and flexible working hours.


Let's shape our future together!

YOUR TASKS

  • You analyze our data sets around product information and develop ML or data mining approaches for clustering and normalization.
  • You independently extract and process data from various sources (including Postgres, MongoDB and Solr) in order to optimize our product information.
  • You are familiar with extracting features from unstructured data and aggregation processes to generate meaningful results.
  • You will implement machine learning models and use algorithms and statistical methods to analyze data and identify patterns.
  • The application of Natural Language Processing (e.g. fine-tuning of vector-based and transformer models) is also part of your tasks.
  • You will work closely with the development team to support data-driven decisions and develop solutions.

YOUR PROFILE

  • You have at least 3 years of relevant experience as a data scientist or in data analysis and processing.
  • You have experience in dealing with large amounts of data and can independently access additional data sources (databases, search indices).
  • You have sound knowledge in the use of Python or similar programming languages, including the use of the associated libraries such as numpy, pandas, pytorch, tensorflow, nltk, spacy, scikit-learn.
  • You are familiar with the application of Natural Language Processing (NLP) and the implementation of machine learning models.
  • You understand our business and use cases and independently develop new solutions to fulfill them even better through your technical work.
  • You are characterized by your careful, reliable and analytical way of working and always strive to find the best possible solutions and generate data-driven insights.
  • Good written and spoken German and English skills 
    Fluent German is necessary

YOUR BENEFITS

  • Reliability: We offer you permanent contracts in a growing company and a competitive salary.

  • Flexibility: You benefit from flexible working hours, trust-based working hours and different working time models as well as remote working. 

  • Free time: You get 30 days of vacation and the opportunity for workation. 

  • Tech: You work with the latest technologies and tools and have the freedom to choose your personal IT equipment. 

  • Working atmosphere: Thanks to cross-functional teamwork you can fully contribute your opinion and benefit from short decision-making processes and an appreciative cooperation. 

  • Culture: A smart and friendly working environment with flat structures and regular team events and company celebrations awaits you. 

  • Talent development: We support your development through structured onboarding and mentoring as well as regular feedback formats for personal and professional development.

#BE PART OF THE SOLUTION & JOIN US

Interested?
Then apply now and become part of our team.
If you have any questions or need further information, please do not hesitate to contact us.
We look forward to receiving your application and getting to know you!