Data Scientist/Engineer (w/m/d) in Teil-/Vollzeit

  • Alpha9 Marketing GmbH
  • Cologne, Germany
  • 16/07/2022
Full time Data Science Data Engineering Business Intelligence Software Engineering DevOps

Job Description

Job Description

Benefits and Allowances
Employer-funded pension
employment type
full time

Full job description

Alpha Neun: Care, Craft, Excite - a great team of qualified, ambitious and open people. Our basis is secure, the potential is huge and the space for development is almost limitless.
Data Scientist/Engineer (f/m/d) part-time/full-time (at least 24 hours/week) in Cologne

Alpha Neun: Care, Craft, Excite - a colorful team of qualified, ambitious and open people that is currently reinventing itself. Our mission: to bring small and medium-sized companies together with the people in your area and to enable trusting and successful dealings with each other. We shape the future as part of the digital transformation in all industries. Our basis is secure, the potential is huge and the space for development is almost limitless.

We live modern, integrated and flexible work - pragmatic and professional. We design, prototype, test and implement, think design systemically and live digital brand management far beyond the pixel. The focus is on the team, our benchmark is our own claim.

Alpha Neun has been developing innovative solutions in the field of crawling & data analysis and services for over 10 years. With a team of 15 employees, we operate, among other things, the local search engine "", which we will completely overhaul in the course of the coming year. We are in an exciting time of upheaval and are looking for motivated, friendly and competent colleagues who like to get involved and enjoy helping to shape their job.

That's how your job works
  • You are an important part of our interdisciplinary teams of UX and UI designers, developers and marketing specialists and you will work on the development of products and their marketing
  • You develop strategies for data management, our workflows and infrastructure for data acquisition and use in close cooperation with our teams and continuously optimize them
  • You analyze data from company databases to optimize and improve product development, marketing techniques and business strategies
  • You develop custom data models and algorithms to be applied to data sets
  • You use predictive models to improve and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • You develop the framework for the company's A/B and MVT tests and test the quality of the models
This is your profile
  • You have strong mathematical skills for collecting, measuring, organizing and analyzing data
  • You have excellent technical skills in developing database designs, data models, data mining techniques and segmentation
  • You have the necessary skills in dealing with tools for collecting, analyzing, evaluating and automating data
  • You have experience using statistical computing languages ​​(R, Python, SLQ, etc.) to manipulate data and extract insights from large data sets
  • You have knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages and disadvantages in practice
  • You have knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and their correct application, etc.) and experience with applications
  • You are willing to learn and master new technologies and techniques
  • You have at least 2 years of proven professional experience
We offer you that
  • A great, interdisciplinary team in which it is fun to work
  • Short distances, regular feedback and an open, appreciative approach
  • A permanent job in which you work independently and creatively
  • Individual training opportunities for your development
  • Flexible and family-friendly working hours
  • Attractive remuneration
  • 30 days holiday
  • job ticket
  • job bike
  • Employer-funded pension
  • State-of-the-art work equipment of your choice
  • An excellently equipped workplace
  • sports and health promotion
  • Barista coffee, other drinks and fresh fruit
Would you like to get to know us?

We look forward to receiving your application documents consisting of

  • CV
  • References, work samples or portfolio
  • testimonials
  • salary expectations
  • possible entry date