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As part of projects aimed at combating fraud and cybercrime—projects based on innovative Machine Learning and Big Data technologies, the objective is to continue improving the performance of the MOSAIC system in already covered areas and to expand coverage to new areas (new payment methods, new entities, etc.). The beneficiary aims to implement several enhancements to its technical infrastructure. To this end, the beneficiary seeks to leverage the expertise of the service provider in the field of Data Analysis.
Job Responsibility:
Data Science activities
Data exploration and implementation of Machine Learning models
Development of data processing programs (microservices) in Python/Spark
Development of Machine Learning algorithms in a Big Data context
Creation, training, optimization, and deployment of models
Handling large-scale tabular data, including imbalanced datasets
Improvement of model performance
Data exploration and parsing
Implementation of Machine Learning algorithms
Optimization of existing models
Technological monitoring of tools contributing to solution optimization
Requirements:
Programming Languages: Python, Scala, Spark, Git, Linux
Databases: HBase, PostgreSQL, ElasticSearch
Data Science Tools: Pandas, PySpark, H2O, MLOps, NLP, ML
Development skills (Unix Shell, Perl, PHP, GitHub)
Experience in the banking/finance sector -> fraud detection / AML (Anti-Money Laundering)
What we offer:
Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
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