SciNeM is a data science tool for metapath-based querying and analysis of heterogeneous information networks (HINs). It enables entity ranking, similarity searches, and community detection. Given a user-specified matapath it currently supports a broad spectra of operation. All supported operations have been implemented in a scalable manner, utilising Apache Spark for scaling out through parallel and distributed computation. SciNeM has a modular architecture making it easy to extend it with additional algorithms and functionalities. Moreover, it provides an intuitive, Web-based user interface to build and execute complex constrained metapath-based queries and to explore and visualize the corresponding results.