Construction Data Scientist
Technip Energies
- Roma
- Tempo indeterminato
- Full time
- Enable smarter business processes by using analytics for meaningful insights to help solve problems across various domains and industries.
- Analyze data to identify patterns and trends to deliver recommendations for the future.
- Visualization: develop data visualization and storytelling solutions.
- Business Understanding: collaborate with businesses to understand their needs and identify use cases to develop.
- IT understanding: collaborate with IT and Data Office for understanding the data frame where develop, deploy, and run digital and data science products.
- Data Understanding: analyze data for exploring data characteristics and their alignment with business use case.
- Data Preparation: interact with Data Engineering to set up the data sources and all steps of dataset preparation.
- Modelling & Validation: develop modelling methodology, features engineering, implement model, follow up model training and its validation, and definition of efficient model to deploy.
- Monitoring: monitoring and fine tuning of the model developed
- Deployment: interact with IT and Data Office for deployment and industrialization of data science and digital solutions developed
- Communicate findings to all stakeholders.
- Prepare and deliver documentation, training and webinar about data science.
- Staying up to date with the latest advancements in AI and scripting language.
- Master's degree in Engineering (preference for IT and mechanical engineering), or Computer Science or Mathematical
- Analytical thinking for translating data into descriptive, predictive and
- Very good communication skills to identify the business requirements and to expose findings to all stakeholders.
- Able to interface with IT and Data Office for understanding the data framework of data science projects.
- Able to associate more efficient Machine Learning models to a specific business use case.
- Able to identify algorithm metrics and monitoring system.
- Data science curious, open mind and updated to data science state of art.
- Ability to think creatively and strategically with excellent problem-solving skills..
- Able to manage more than one activity at the same time.
- Attitude to perform the work in team, in an international and multi-cultural environment.
- Ability to fulfil tasks on time with the required Company quality level
- Able to work and deliver in an incremental approach
- Availability to international mobility either for short- or long-term assignment
- Knowledge of data mining, mathematics, and statistical analysis
- Knowledge of SQL (from a data scientist perspective, not necessarily dev or data engineering)
- Knowledge of Scripting Language (e.g., Python, R, Julia) and data science libraries
- Knowledge of main Machine Learning models (supervised and unsupervised)
- Knowledge of data pipelines, cleansing and data preparation
- Knowledge of Statistical computing package (e.g, R) is a plus
- Knowledge of NLP, LLM is a plus
- Knowledge of Agile, Git, DevOps and MLOps is a plus
- Knowledge of BI and visualization tools (e.g, PowerBI) is a plus
- Knowledge of Dataiku and Synapse are a plus