Data Scientist (m/f/d), location Darmstadt / remote

  • Diamant Software GmbH & Co. KG
  • 33647 Bielefeld, Germany
  • 06/05/2022
Full time Data Science Big Data Statistics DevOps

Job Description

Job Description

employment type
full time

Full job description

Detailed description, for example, the health and social services market segment

We are convinced that artificial intelligence (AI), neural networks and machine learning will play an ever-increasing, crucial role in the automation
of accounting processes. Using these new technologies, we are building the most intelligent software accounting on the market. Along with you,
we do not only want to develop these solutions for our users, but also perform fundamental research in the field of AI. Are you interested in
conducting applied research in cooperation with different academic partners? Then join us

Your responsibilities

  • As a data scientist, you will actively participate in establishing & improving

our AI competence center near the TU Darmstadt.

  • Using mostly quantitative and highly structured data, you will create new

models and model architectures for predicting sequences, classifications
etc.

  • Your responsibilities include incremental development of demonstrable

service prototypes, with assistance of your fellow full-stack developers and
frontend engineers.

  • You will advise our development department in Bielefeld regarding

scientific topics outside the AI ​​competence center (e.g. possible solutions,
use cases, recommended model architectures, etc.).

  • To stay up to date you will follow and read academic publications in

computer science, focusing on topics like machine learning, artificial
intelligence, computational linguistics, data structures and algorithms.

  • You will publish relevant research results and visit academic conferences.

Your Qualifications (it is not required to have all of these, some are great )

  • You have completed your Master's/Ph.D. in computer science or in a

related field of study, with special emphasis on machine learning/deep
learning. Already having some work experience, solving problems in an
enterprise scenario is a big plus.

  • You are very experienced in working with machine learning and know how

to use the standard python frameworks (sklearn, pytorch, etc.)

  • You have applied machine learning and optimization algorithms in real

application scenarios dealing with eg image processing, text classification,
sequence classification

  • You are not afraid to analyze huge amounts of data and to apply active

learning and other techniques to create high quality training data

  • You have already gathered some experience in developing web-based users

interfaces. You are curious and enjoy experimenting with existing
implementations, to better understand new methods and gather
experience.

  • German written and verbal communication skills are advantageous but not

mandatory.

Our benefits

  • A secure, permanent job in a long-standing, successful and growth-oriented software company with a positive start-up mentality where

agile software development is the reality and not just another
buzzword.

  • Active participation, good teamwork, flexible hours and on

independent working environment.

  • The unique possibility of building something completely new, while

conducting scientific research.

  • Perfect office location, close to public transport at the Darmstadt main

Train station and charging stations for eBikes and eCars just outside
the door.

  • Modern office equipment with fully electrical, height-adjustable desks,

regular team lunches, snacks and really good coffee.

  • Development of a technologically and functionally best-of-breed

product, which generates significantly above average customer
satisfaction, having a long-term Net Promoter Score greater than 48%.

  • A job with a socially responsible company. We invest in good ideas

and foster the education of young people.

Interested? Send your application documents via email with your salary requirements and date of availability to

Job Type: Full time