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Data Science Software Developer (m/f/x)

Permanent Hires, full-time
Munich, Germany

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The Role

As a Data Science Software Developer at KONUX, you will be the bridge between the Data Science Team and the Back-End / DevOps teams. Working with the data scientists, you will be responsible for bringing statistical analysis techniques and AI algorithms to our production environment. You will take pride in developing efficient, maintainable and scalable code for use both by the production engineering team as well as internally by the Data Science team. Further, you will be contributing to algorithm design, big-data analysis, and improvement of the existing code-base. Ideal candidates learn and adapt quickly and will be able to use every tool at their disposal to understand and effectively tackle hard problems.

Your Responsibilities

  • Bring code from a range of model development languages (mostly Python) to a Python / C++ production environment
  • Create functional specifications for analytic products
  • Support and enhance existing Python and C++ production code-base
  • Profile and enhance performance
  • Write interfaces to DB and RESTful systems for data retrieval and analysis
  • Assist with the development of novel implementations of new product features as required
  • Contribute in solving technical and agile process problems as they arise

Your Profile

  • A degree in Engineering, Mathematics, Physics, or a related field
  • 4+ years of Python, plus ideally professional experience with C++ / Java programming
  • Knowledge of statistical techniques such as PCA, kernel methods and SVM
  • Demonstrable experience with Docker and Kubernetes
  • Proficiency in SQL, Linux Shell scripting and automated testing
  • Demonstrable examples of working with business partners to deliver a solution that meets project objectives (requirements generation, functional specification generation to project execution), and strong interpersonal communication skills (verbal, presentation and written) 
  • Desire to work in a collaborative environment and to demonstrate creativity

Nice to Have

  • Matlab / R experience
  • Message Queue (e.g. RabbitMQ) implementation experience
  • Demonstrable programming experience in application development of neuronal networks and deep learning
  • Experience with working in a Scrum environment

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About us

At KONUX, we are empowering the rail industry by building the best possible predictive analytics solutions for our customers. We strive to help industrial companies improve their maintenance and performance decision making in a data-driven world. A career at KONUX is for those who want to be at the forefront of analytics, working to make notable improvements to train reliability which affects hundreds of commuters every day. Our culture prioritizes the customer first, and all employees are expected and empowered to take ownership of their daily responsibilities. If this sounds like the type of environment you thrive in, then we want to hear from you!

What we offer:

  • The opportunity to play a decisive role in shaping a company during its pivotal growth stage alongside a diverse, multinational team
  • A competitive salary with equity (all permanent KONUX employees have equity!)
  • 3600€ personal development budget annually so that you can hone your craft
  • 27 paid vacation days/year from your first day, +1 per year with KONUX (up to 30)
  • Regular team events, including quarterly all-team getaways, after-hours dinner parties, and networking events
  • Flexible working conditions with opportunities for home office
  • Subsidized gym membership
  • A big kitchen with a fully-stocked breakfast bar and professional-grade espresso machine
  • Comfortable and modern offices in beautiful Munich, Germany and Cluj, Romania
  • Relocation support for international candidates

Equal opportunity

At KONUX, we focus on results. We believe that a diverse team achieves better results faster. So here’s the deal: You bring in your very own perspective. We promise to judge your qualifications and performance, not your age, sex, religion, skin color, gender identity, family status or disability.

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