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Exploring Digital Future. Together.

Data Scientist (m/f/d)Technology

If you love data, we'll love you. For our Product Engineering team we are looking for additional support in the area of Data Science. So far, this has not been a focus for us, but we are ready to build up this area together with you. You should have experience with structuring, analyzing and processing data. And at the same time, the ability to use the generated insights to optimize our digital products and internal processes. If you're in, we're in.

What to expect

  • Establishment of a small data analytics unit in the area of product engineering

  • Collection, analysis and structuring of data from digital products

  • Implementation of tracking and monitoring of data

  • Developing new analytic methods to improve insights and thus also products

  • Development and implementation of test-and-learn strategies

  • Close collaboration with all areas from the agency

  • Regular feedback sessions and budget for further training

  • A team you can count on

This would be your team

Marco
Lord of the code
and the darkness.
Marco
Backend Developer
Florian
Guardian of DevOps
(so we don't have any DevOops).
Florian
DevOps Engineer
Samuel
Backend
brain.
Samuel
Backend Developer
Rafael
Fully stacked and packed
with skills.
Rafael
Full Stack Engineer
Marko
Architecture that
screams yeahhh.
Marko
Software Architect
Jan
Emerging
code talent.
Jan
Development Trainee
Pascal
Code artist
on the rise.
Pascal
Backend Developer
Tim
Créme de la créme of
FE development.
Tim
Frontend Developer
Manuel
Ultimate quarterback
of developers.
Manuel
Full Stack Developer
Thomas
Passion driven
development.
Thomas
Team Lead Support
Jesko
Developing solutions
at the speed of light.
Jesko
Full Stack Engineer
Chris
100% technology
enthusiast.
Chris
CTO
Georg
Untying knotsfor smooth operations.
Georg
DevOps Engineer

What you bring along

  • Degree in a relevant subject such as data science or computer science. Or simply a hunch.

  • Very good knowledge in advanced analytics and statistics

  • Deep understanding of product-, development- and business-relevant processes and data

  • Experience with analytics automation, data aggregation, data modeling, pattern recognition, ... you name it.

  • Skills in data preparation and visualization for internal and external use

  • Knowledge of appropriate toolkit and willingness to implement it at Becklyn

  • Data science skills we don't have yet

Becklyn Basics

  • Our old building office is quite nice.
    Office
    01
  • However, (almost) all of us also do hybrid work (and it works.)
    Workplace
    02
  • Our work is diverse.
    Projects
    03
  • Overtime is and will remain an exception.
    Workload
    04
  • Sometimes we do sports together.
    Teamevents
    05
  • Or we meet for a beer. Or two. Or three.
    Dolce Vita
    06
  • (But it's not a must)
    Easyyy
    07

Sounds pretty good so far? Nice. Then we are looking forward to your application. Please send us an e-mail with your documents. See you sooooon :-)