Full Stack Data Scientist

One of our clients is currently looking for a Full Stack Scientist. As Full Stack Scientist, you will…

• 
  design and implement tailor-made Machine Learning solutions specific to our customers - from a first PoC and MVP to fully scalable applications operated in production

• work in projects with an agile approach (such as Scrum) and be a part of an awesome team

• Share your knowledge in and across project teams

• shape our preferred technology stack for various Machine Learning tasks to enable the development of state of the art solutions

• constantly develop your coding and communication skills in a high-performance and diverse team, write clean and maintainable code

You will enjoy this job if you…

• 
  Are eager to learn, attentive to details, and self-motivated

• have already gained a minimum of 2 years of work experience

• have excellent knowledge of Python and experience in Java / Kotlin

• are used to work with the following technologies: TensorFlow, PyTorch,

  , scikit-

  , pytest, loguru, dvc, and similar frameworks or libraries

• have experience with standard software development workflows (git, CI/CD, software testing, agile way of working)

• are familiar with Containerization (Docker) and Cloud-Computing, preferably

  , Google Cloud, and Azure

• come up with creative Machine Learning solutions to highly individual and domain-specific challenges and thrive to deliver high quality solutions

• have strong analytical skills, solution-oriented thinking, knowledge about various Machine Learning methodologies, and are in general passionate about innovative technologies

• Have developed a Machine Learning solution from the first PoC to an application in productive use already

If you love to…

• 
  learn new things, constantly challenge ourselves and are really passionate about our field of work

• solve problems and develop efficient solutions

• have a can-do attitude and positive outlook

• share and exchange knowledge

• have a lot of freedom and the chance to grow

• discuss new ideas and have the opportunity to shape a natural and rapidly growing business

• spend quality time with our colleagues during social events - also across locations

If you're interested please apply below.