Data Scientist
Maria Giulia Cecchini
Modified 11 Months ago.
AI & DATA
Data Scientist
The resource will be part of our Data Team and they will actively take part in the activities related to machine learning projects, in collaboration with the various stakeholders.
Responsibilities:
- Requirements analysis
- Technical and functional documents
- Project architecture design
- Database design
- Development of machine learning models
- Front-end creation for data visualization
- Testing and model validation
- Installation and model deploy configuration
Required skills:
- Great knowledge of relational databases (SQL language)
- Great knowledge of ML projects development methodology: data mining, business intelligence, data discovery, predictive models, data visualization
- Good knowledge of Cloud Azure ML services
- Good knowledge of non-relational databases (NoSQL)
- Good knowledge of Python programming language
- Knowledge of deep learning frameworks (TensorFlow, Caffe, DeepLearning4J etc.)
- Base knowledge of Hadoop framework and Big Data architectures in general (Mapreduce, Spark etc.)
- Knowledge of IoT architectures and related protocols (Kafka, MQTT)
- Container-based architectures (e.g. Docker)
Education:
- Degree in Computer Science, Digital Humanities, or Master’s Degree in Data Science
- Attitude to problem solving
- Precision
- Attitude to teamwork
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