Borg's mission is to enable people to trust each other at scale. We believe that trust is essential for a prosperous society. Unfortunately, the world today is not filled with trust, especially online. The state of social media has a lot to do with that. It's hard to know which information you can trust on the internet. Our goal is to change that.
We're building PageRank for people, i.e. an algorithm that ranks social media profiles like Google ranked websites. Our product will enable you to view the internet from the perspective of a community of your choice. This way you will be able to see which people and content they trust.
We're building the future in which internet's information flows are defined by online communities, not the social media platforms. This is a massive challenge. It requires indexing billions of profiles across multiple platforms, finding millions of communities and serving them as structured data streams via a dynamically priced API.
We are currently indexing ~300k profiles across Twitter, we have mapped 6 communities and we are serving them as data streams over our API. To meet our ambitions we will have grow the team rapidly.
Our Teams and our Tech-Stack
We are a small company, but we are very active and we are growing rapidly. We all work as a unique team with frequent chats and meetings during the days. We are essentially divided into two teams: the Data Science team and the Data Engineering team.
You will be joining the Data Science team, but you will be working often with the Engineers and the CEO.
Our technology is currently built as micro-services powered by Docker and gRPC with most services running Python - with everything deployed on AWS. We code in Python and we query in ArangoDB. It is a plus if you have experience with Flask and Celery.
To meet our ambitions, the Data Science team is growing rapidly and we are seeking a Senior Data Scientist. This person will work side by side with the current Data Scientists and the Data Engineers.
Borg is a data driven company and our products are high level quantitative analysis and specific data science models. You will work in the kernel of the company aside from renowned experts, engineers, and business leaders in the field. Your role is key to the growth of the company.
You will work in several areas of Data Science. A few examples are analysing Social Networks, Natural Language Processing (NLP), Image Classification and Recognition, and Recommendation Systems. Moreover you may have a substantial exposition also to Data Engineering and Data Visualization.
Finally, the role opens up to several growing opportunities and career's progress. Indeed, the person who takes this role is expected to become Team Lead in less than a year or to specialise in one of the many products of the company.
You will work on all stages of a data science project such as collecting the data, understanding the business problem, building mathematical models, developing products, and producing insights to be used at the business level.
Your main focus will be designing and building new scientific models and improving the current ones in production. As a senior expert, you will analyse the data and turn it into insights and valuable products.
You will also help the Data Engineers to crawl new data from GitHub, Reddit, Twitter, and other social platforms. After deep analysis of this data you will develop new models and provide new scientific results driven by business products.
We are a remote-first team. Most of the team is based in Europe (Berlin, London, Milan). We make our own hours, but we have our team calls during office hours in CET. We meet in person and work together for several days every ~3 months. Other than that the company ‘lives’ in Slack, Notion, Linear, Vowel and other tools enabling effective communication.
The job is full time permanent. We are also happy to sponsor a work visa if you would like to move to Germany. The compensation will include an equity in the company.
The Process For This Role
If after reading all of this, it's a hell yes! opportunity, please click the apply button. In the confirmation email you will get a link to a Typeform with some task related questions.