DATA SCIENTIST - NORWAY

Descrizione azienda

Impresa Pizzarotti & C. S.p.A. was founded in Parma in 1910 by Gino Pizzarotti, subsequently transformed in 1945 into a limited liability company by Pietro Pizzarotti, father of the current Chairman Paolo Pizzarotti, and became a joint-stock company in 1961 with a share capital of 250 million euros. Today it is in its fourth generation, represented by Michele Pizzarotti, Vice President of the company, together with his siblings Enrica and Pietro.

Over the years, Impresa Pizzarotti has undergone a continuous evolution to become one of Italy's leading general contractors. The company has always aimed at constant development in the realisation of complex works: road and motorway infrastructures, including those under concession, tunnel works, airports, dams, industrial infrastructures, railway construction and health and residential building projects. Today the Pizzarotti Group is present in almost all geographical areas of the world.

Posizione

We’re looking for a Data Scientist to be employed in Norway reporting directly to the Innovation Manager – Smart Infrastructures.

The ideal candidate should be versatile and able to tackle a Data Science project with a 360-degree vision of the entire data lifecycle, from managing data ingestion and preparation processes to developing and validating the model and creating frontend applications.

Key Responsibilities of the role:

• Modeling: developing new ad-hoc Machine Learning models to meet business requests and requirements
• Advanced analysis platforms: developing complete ML pipelines from data acquisition to frontend applications
• Data integration: understanding which data sources are important and how they should be treated to empower new data-driven tools and methodologies
• Real-time data management capabilities, structured or unstructured, without historical series
• Business-oriented meetings and events: heavily focusing on sharing project details with business users, building trust in the tool and methodology used to develop it
• Ability to support decision makers in defining data analysis strategy
• Collaborating with various business department heads (sales, production, logistics, HR, R&D, etc.), project managers, and ownership to identify KPIs and critical issues
• Understanding if these critical issues can be resolved through statistical data analysis
• Collecting and analyzing data from different sources
• Structuring and aggregating data to make comparison and analysis possible
• Verifying data quality, any duplication, identifying errors in collection and irrelevant data (i.e. data cleaning)
• Reporting any errors in data collection and storage systems to the relevant departments
• Interpreting data using statistical models that identify trends or frequent patterns in their structure
• Presenting and sharing the results of data analysis with business heads, project managers, and ownership through reports, tables, diagrams, and graphs that immediately highlight statistical results (i.e. data visualization)
• Create and apply data management procedures, including but not limited to: management of and between databases, creation and management of ways to access the above databases (via APIs, graphical interfaces, etc.), connection with external and third party data sources, etc
• Implement secure and efficient data management and analysis systems in all technical aspects
• Design data sharing procedures
• Support the team in the use of systems while complying with applicable regulations and company standards
• Ensure efficient and timely reporting
• Monitor and analyze the performance of the data provided
• Ensure the security of managed data in terms of illegal access and data loss

Requisiti

Requirements:

• Master's degree in IT Engineering, Neuro Science, Computer Engineering or similar
• Proficient in Python
• Good knowledge of Data Warehouses
• Good knowledge on how to design and organize a Data Model
• Good knowledge of SQL, Pyspark, distributed computing
• Good experience with Qliksense/PowerBI
• Good experience with main Cloud Platforms (Azure, AWS)
• Experience with R Language - nice to have
• At least 4 years of experience working on Advanced Analytics projects
• Norwegian mother tongue and fluent in English are considered mandatory requirements
• Italian knowledge - nice to have

Technical skills:

• Python, Pyspark, SQL, Linux Command line
• Azure Databricks, Azure Data Factory, Azure Data Science Virtual Machines
• Distributed & Cloud technologies
• Qliksense, PowerBI,
• Machine Learning Models
• BIM knowledge - Autodesk BIM 360 - nice to have

Altre informazioni

Place of work: Norway