CONSTRUCTION DATA SCIENTIST

At Technip Energies, we believe in a better tomorrow, and we believe we can make tomorrow better. With approximately 15,000 talented women and men, we are a global and leading engineering and technology company, with a clear vision to accelerate the energy transition. Designing and delivering added value energy solutions is what we do. If you share our determination to drive the transition to a low-carbon future, then this could be the job for you. We are currently seeking a Construction Data Scientist , reporting directly to the Global Construction Data Innovation Manager in Rome to join our Construction Data Science team based in Paris (France) and Rome (Italy). About the Job The Global Construction Data Innovation (GCDI) is part of Global Construction, within Delivery Excellence division, and aims to develop and improve digital solutions, data science solutions (data analytics and AI), data accessibility and BI reporting for better estimating, preparing & controlling construction activities with the target to optimize construction resources, costs & duration. The Construction Data Scientist will be part of the Construction Data Science team. He/She will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning T.EN data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data's full potential. He/She will support projects all around the globe to use their data as best as possible to create value and improve the management at site. He/She will work on data produced from past construction projects for identifying benchmarking and construction patterns to optimize construction execution. He/She will produce digital solutions to make construction management data-driven. He/She will be at the interface between site teams, CMC teams, Data Office teams, and IDS teams. He/She will be part of the CMC team and will strive to continuously improve the performance of construction at site. Responsibilities: 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. Develop data visualization and storytelling solutions. Collaborate with businesses to understand their needs and identify use cases to develop. Collaborate with IT and Data Office for understanding the data frame where to develop, deploy, and run digital and data science products. Analyze data for exploring data characteristics and their alignment with business use case. Interact with Data Engineering to set up the data sources and all steps of dataset preparation. Develop modeling methodology, features engineering, implement model, follow up model training and its validation, and definition of efficient model to deploy. Monitor and fine-tune the models developed. 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 webinars about data science. Stay up to date with the latest advancements in AI and scripting languages. About You We'd love to hear from you if your profile meets the following essential requirements: Qualifications: Master's degree in Engineering (preference for IT and mechanical engineering), or Computer Science or Mathematics Main Skills: Analytical thinking for translating data into descriptive, predictive, and prescriptive analytics and products. Storytelling mindset. 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-minded 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 fulfill tasks on time with the required Company quality level. Able to work and deliver in an incremental approach. Availability for international mobility either for short- or long-term assignments. 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. Knowledge of Construction work processes is a plus. Inclusion Standards In our continuous journey to developing and building a culture of inclusion, we adhere to four Inclusion Gold Standards: We challenge our biases and embrace diversity of thought. No one has all the knowledge and solutions; collectively we do. We foster a caring environment where people are respected, comfortable to share and be heard. We promote active listening for effective decision and action. What's Next? Starting Date: Once receiving your system application, the Recruiting Team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications within a reasonable timeframe. Check your application progress periodically via your personal account from the candidate profile created during your application. #J-18808-Ljbffr