Come help us bring
data science, IoT, and AI
to the real estate industry
Make an impact
Build innovative solutions and make an impact
today in the world of real estate.
Apply your talents
Our young and passionate team welcomes new
talents, and embraces curiosity and creativity.
IoT, data science, and artificial intelligence
are at the core of our solution.
Work in a great location
Work in a spacious sunlit office right
in the center of Paris, in the Marais district.
Currently open positions
To support its ambitious development, Square Sense is looking to recruit Project Leaders with practical experience in real estate asset management. The role is to interact with our real estate clients, help them align their IoT/data architecture with their portfolio strategy and imagine new services for tenants.
In Square Sense's data science team we are building products that use data from multiple data sources, including various sensor and actuator technologies (e.g., HVAC, lighting, smart meters, people counting, occupancy sensor, air quality). The data scientist's responsibility is to extract insight from all kinds of data to help shape or meet specific business needs and goals. One of its primary objectives is to design and implement algorithms to analyze large amounts of data in an automated fashion.
We are looking for a data scientist with 4+ years of industrial and/or academic experience (relevant Ph.D. counts) in any data science related field. Candidates for this position are expected to have a solid background in mathematics, probabilities, and statistics, solid Python programming skills, a taste for learning, and a drive for developing innovative products.
In Square Sense's Software Engineering Team we are building a multitude of products in the domains of data collection, batch and stream data processing, visualization and IoT manipulation. The primary objective of a Data Engineer is to develop various components for data collection (connectors for various IoT devices and third-party services, web hooks, or MQ clients) and data processing (stream and batch data pipelines), design efficient data models using various storage technologies and implement APIs (GraphQL and REST) to access processed data.
We are looking for a student interested in data engineering and data warehouse design that is finishing a postgraduate degree in engineering, a master (M2), or an equivalent university course and is looking for a 6-month internship.