- To collect business requirements and develop advanced data mining solutions or identify, assess anddeploy relevant existing data mining, machine learning and business intelligence solutions
- To define specifications and design presentation interfaces with optimal usability/user experience
- To identify, collect, convert, combine and update different data types/sets in several locations (e.g. scripting and ETL)
- To produce data models according to specific problems statements
- Scripting and programming, and related testing
- Data validation, and subsequent code debugging or recommendation for improvement on methodology
- To contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...)
- To write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies
- Interaction with the business analysts, customer, users, project leaders and developer
- Master + 11 years of experience
- Specific expertise in Python 3 libraries for data management and AI (including, but not only limited to, NumPy, SciPy, Pandas, Keras and TensorFlow)
- Specific expertise in RDBMS (e.g. Oracle DBMS, PostgreSQL or MySQL), NoSQL databases (at least ElasticSearch, MongoDB, Apache Solr), and either Graph Databases (at least Neo4j) or TripleStore Databases (at least OpenLink Virtuoso). Specific expertise in data modelling and performance tuning for analytical queries.
- Excellent and proven knowledge in Python 3, package managers (PIP, Conda) and Jupyter. Knowledge of R is a valuable asset.
- Excellent and proven knowledge in Elasticsearch and good knowledge of the other Elastic Stack components (Kibana, Beats & Logstash)
- Excellent and proven knowledge of SQL tooling (RDBMS, NoSQL)
- Excellent knowledge of Data Analytics techniques and tools
- Proven knowledge in Natural Language Processing (NLP), Neural Networks and Deep learning libraries, and Classical Learning (e.g. Pattern search, Clustering, Classifications) algorithms
- Proficient in continuous code delivery and unit testing.
- Knowledge of business intelligence tools (e.g. PowerBI, Tableau, SAS, SAP, GoodData...)
- Knowledge of ETL processes and tools (e.g. Pentaho Data Integration or Talend Open Studio...)
- Knowledge of architectural design and implementation of scalable modern data stores.
- Knowledge in at least three of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
- Ability to write, debug and validate code and results, to learn new approaches and technologies and to scout for new solutions efficiently and fast
- Ability to understand, speak and write English (B2)
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5 giorni fa
Descrizione
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Data Scientist (Python) to join our UniQue Ispra team.
In this role, you will have the opportunity to work closely with our customers in the public sector and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services.
What will you be bringing to the team?
Requirements
What do you need to succeed in this position?
At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.
