We provide scientists with the help and support they need by connecting them to the world’s most active scientific community.

We've built a platform that gives the world's scientists the tools and services they need to connect, collaborate, and advance their research. Over 25 million members from 193 countries use ResearchGate to share, discover, and discuss research.

As a Data Scientist at ResearchGate, you will unlock the value in our data assets by developing Machine Learning models and data-intensive systems across the full breadth of RG’s product. Your work will enable scientists in ResearchGate’s network by keeping them in touch with the latest work in their fields and protect the health of the scientific community by providing tools to foster collaboration and detect fraud. 

ResearchGate’s Data Science and Machine Learning team is a multidisciplinary engineering team, consisting of Data Scientists and Data Engineers. The team owns the end-to-end development of ML-enabled products as well as the infrastructure that powers ML-driven development across the Engineering department. As a cross-functional team, we are responsible for managing the full ML product life-cycle, including identifying opportunities, matching data sources with novel ML approaches, prototyping and scaling models, and deploying and maintaining services within ResearchGate’s engineering infrastructure.

Collaboration is critical to our team’s success; team members ask for and offer help on each others’ projects and own objectives collectively, and we work closely with stakeholders in Product and other Engineering teams. We balance pragmatic solutions within our existing tech stack with forward-facing experiments, trying new solutions, employing new technologies, and informing ResearchGate’s ML and AI strategy.