(Senior) Data Scientist (m/f/d)

Product Development / Darmstadt, Germany

These tasks are waiting for you:

Serviceware is a leading provider of software solutions that enable the digitization of service processes. We have been listed on the stock market since 2018 and follow an ambitious growth strategy.

In 2019, we started an innovation center focusing on Artificial Intelligence (AI) and Machine Learning (ML). Serviceware AI was born! Using this initiative, we pursue three ideas:

  1. We seek to create an environment that allows fast experimentation and iteration. Few heavy processes. Freedom for creative ideas. Like a start-up within a publicly-traded company.
  2. We aim at developing ML features that are ready for production. Proof of concepts are nice, but we want our work to impact reality soon. This is why we envision software engineering and data science to be tightly linked right from the start.
  3. We like to take advantage of the recent progress in ML. Leverage the latest research insights. Cooperate with the technical university. Invest time in evaluating new technologies.

By now, we began to work on the first use cases related to Serviceware’s key expertise: service management. But which questions do we deal with in service management?

In short, that’s everything that improves today’s customer service by the analysis of data. For instance:

  • How can we help businesses answering customer questions more quickly and reliably? (Advanced language models?)
  • How can we enable companies to predict the costs of their customer services more accurately? (Time series analysis?)
  • How can we support employees in finding knowledge needed for customer service more easily? (Neural networks?)

To build services that address these questions, we are hiring a (Senior) Data Scientist. And this is how your job looks like:

  • You build state-of-the-art machine learning models to improve our software platform.
  • You make sense of large data sets by conducting end-to-end analyses including data preparation, model training, and model evaluation.
  • You choose suitable analytical approaches to effectively work on different business cases.
  • You build on modern big data infrastructures to create scalable solutions.
  • You are part of an agile software development team in Darmstadt.
  • You intensively cooperate with our software engineers to facilitate a seamless integration of your machine learning models into the software.


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