Data Scientist

Who are Starmind?

At Starmind, we believe that the combined knowledge and cognitive capabilities of humans far exceed any existing technology's computing power; thus, we developed AI to empower and enhance rather than replace the human mind.

Our platform helps expedite people's advancement by exploring undocumented human intelligence and enabling real-time access to skills, knowledge, and solutions within corporations, communities, and, since we like to think of the bigger picture: the world.

We have a diverse and open-minded team with 20 different nationalities. We are backed by some of the best VC investors in Europe, enabling us to further grow and expand our team with passionate people with various experiences, talents, and diverse backgrounds.

Do you have the passion to shape the future of AI?

This mission

Starmind's AI specialists are a friendly and welcoming group of nine data scientists from a broad range of backgrounds. We are looking for another data scientist to bring new ideas and skills into the team, to join the company around October 2021 (exact starting date negotiable). The multicultural team is ready to help you grow as a data scientist with their expertise in areas such as natural language processing, neural networks and mathematics.

As a data scientist at Starmind, you work on the components that make Starmind's technology truly unique. Starmind's machine learning algorithms have been successfully patented and are delivering more and more value to customers every year. With the recent shift to working-from-home, Starmind's AI has become even more essential in helping employees to access all the knowledge in their organisation.

The majority of the AI Team is currently located in Zürich, Switzerland. However, we offer flexible working conditions and we are open to considering remote work arrangements.

What you will do

• You will tackle various challenges related to natural language processing, time series analysis, ranking, etc. Your solutions have a direct impact on the productivity of thousands of users.


• You will take ownership of the components and data pipelines that you build. You don't just create prototypes, but you also work with our software engineers and DevOps to ensure that new models can be seamlessly integrated into our applications and reliably deployed and maintained on production systems.


• You will have many opportunities to explain your ideas and contributions to different audiences. Conversely, the rest of the team is ready to support and inspire you with their own ideas and insights.


• You will be encouraged to learn new skills and participate in projects that go beyond your current experience. 10% of your working time is set aside for your personal development as a data scientist, for example with personal projects or online courses of your choosing.

Who you are

• You can produce scalable, reliable and easy-to-understand code in Scala, Java or Python.


• You are familiar with a wide range of machine learning approaches, especially in the domain of natural language processing.


• You are passionate about the newest neural network architectures, but you are also able to recognize when a simpler solution can do the job as well.


• Preferably, you are experienced in training and deploying machine learning models in a microservice environment built around Docker, Kubernetes and Kubeflow.


• Whilst we value university degrees and other qualifications in related fields, proof of hands-on experience on relevant projects (e.g. in the form of a Github repository) is even better to convince us of your level of ability for this role.