Piksel SRL
Location
Ispra (VA) | Italy
Job description
We are looking for a Data Scientist with a Background in Data Engineering for one of our most prestigious clients, an international research center based in Italy.
Key Responsibilities:
- Advanced Data Analysis: Apply statistical analysis to large data sets in order to identify trends and develop valuable insights. Use machine learning techniques to develop scalable solutions for business problems.
- Data Infrastructure Development: Leverage your data engineering background to design and build robust data infrastructure and pipelines that support advanced analytics ad graph analysis.
- Machine Learning Implementation: Develop and implement various machine learning models to solve complex business problems.
- Natural Language Processing (NLP): Employ NLP techniques for text analytics, entity recognition, and language understanding.
- Collaborative Model Development: Work closely with other data scientists, engineers, and stakeholders to develop models that address key business challenges.
- Data Visualization and Reporting: Create visualizations and reports to communicate findings to both technical and non-technical stakeholders.
- Cross-Functional Team Leadership: Provide leadership and guidance to heterogeneous teams
Required Technology Experience and Knowledge:
- Master's degree in Statistics, Mathematics, Computer science or Informatics
- 3+ years of experience in the role of data scientist
- Programming Languages: Strong skills in Python and R, including libraries specifically for data science and machine learning like Pandas, NumPy, Scikit-learn.
- Database Management: Experience with SQL and NoSQL databases such as Oracle, MongoDB, and Elasticsearch.
- Big Data Technologie: Familiarity with Hadoop, Spark, and Kafka.
- Data Visualization and Communication: Create visualizations and reports, especially for representing complex relationships and model results, to effectively communicate findings to both technical and non-technical stakeholders
- Data Modelling: Understanding of data modelling and data architecture principles.
- Natural Language Processing (NLP): Experience in NLP algorithms and frameworks, understanding of text mining and sentiment analysis.
- Graph Analysis and Network Theory: Knowledge of graph analysis techniques and tools (like Neo4j or Gephi). Ability to work with complex network structures and perform graph-based data analysis
Soft Skills:
- Problem-Solving Skills: Ability to troubleshoot and solve complex technical problems.
- Analytical Thinking: Strong analytical skills to interpret complex data.
- Communication: Excellent verbal and written communication skills to effectively collaborate with team members and stakeholders.
- Teamwork: Ability to work effectively in a team environment, contributing to a collaborative work culture.
- Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data.
- Time Management: Ability to manage time and prioritize tasks efficiently in a fast-paced environment.
Grading and salary will be commensurate to the professional background.
Location: Ispra (VA), Italy. Activities will be performed partially on-site and partially in smart-working.
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