DataArt’s client is an international business that works in the Finance domain. They operate on exchange traded markets - across all major financial and energy sectors.
Their brokers help their clients to support price discovery, liquidity, and further execution and risk management.
The client now is building a new recommendation system for brokers to make it more effective.
The project is at the active development phase (MVP), and now it’s time to add more AI/ML capabilities.
We're looking for a data scientist/engineer to join the dynamic Agile team that delivers some innovative product in modern technologies.
We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
4+ years of experience working in a data engineering or developer role
Experience with data management platforms like Jupyter Notebook
Practical experience with graph database modelling - Neo4j
Experience and knowledge of Cypher Query Language and GraphTheory
Understanding of SciPy, gRPC, Python 3, Basic Calculus
Theoretical knowledge and hands-on experience with Machine Learning and Model Classification
Experience with Docker (as developer)
Basic experience with AWS
Experience in the Finance domain
Experience of NumPy and basic C++
Experience in building and maintaining different types of data pipelines
Experience working in a Linux/Unix environment
Understanding of Cassandra and CSQL plus MongoDB
Understanding of AWS Glacier and Snapshotting
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