Job Description

Hungry for challenges? Join a group with innovation at its heart and contribute to the automotive revolution! Plastic Omnium is a world-leading provider of innovative solutions for a unique, safer and more sustainable mobility experience. Innovation-driven since its creation, the Group develops and produces intelligent exterior systems, customized complex modules, lighting systems, clean energy systems and electrification solutions for all mobility companies. With a EUR9.5 billion economic revenue in 2022, a global network of 150 plants and 43 R&D centers, Plastic Omnium relies on its 40,500 employees to meet the challenges of transforming mobility. Plastic Omnium's Lighting division covers the entire lighting value chain, from components to complete headlamps, from traditional lighting to intelligent and high-performance products. The division develops interior and exterior solutions that enable greater design freedom, enhanced safety and driver assistance. Our ambition? Provide automakers with cutting-edge equipment and solutions to develop tomorrow's clean and connected car. The Data Center of Excellence expert fulfill missions related to Data engineering and/or Business Intelligence and/or Data Science (depending on the background of the applicant and the career path defined with the management team).

Missions related to Data engineering: Extracts data from all type of sources / business lines of the group (Finance, HR, Purchasing, HSE, Production, Supply Chain, etc.) Implements Data in the global Data platform Creates integration pipelines as well as the processing of massive data by taking charge of all or part of the conception, design, production Documents and supports deployment Builds data pipelines to collect, transform and process data in collaboration with data savvy to meet advanced analytics data modeling requirements.

Missions related to Business Intelligence : Supports of the various business lines of the group (Finance, HR, Purchasing, HSE, Production, Supply Chain, etc.) in the conception, design, production of their Indicators, reports and dashboards Documents and supports deployment

Missions related to Data Science : Contributes to use-case ideation, framing & scoping activities. Studies, designs and develops models for analysis, exploitation, prediction and restitution of data Defines data quality controls to ensure model robustness Works closely with data engineers on data models & pipelines Pushes models to production (MLOps)

Requirements for data engineering Bac+5 / Master in Data, Statistics / Computer Engineering 4 years of work experience in IT industry related field required. Programming language applied to data analysis (SQL, Python, spark, ..) Good level in English Ability to design and implementation of secure data acquisition and integration strategies Ability to work in Azure Data Bricks environments Azure Gen2 / DataBricks ETL (Talend Big Data Platform desirable) Experience on SAP, SQLServer, Oracle, SharePoint, API, ..

for Business Intelligence Master the SQL language applied to data analysis Experience on SAP, SQLServer, Oracle, SharePoint, API, .. Knowledge in Qliksense Microsoft Power BI

for Data Science Proficiency in Mathematics, Statistics and Machine Learning Proficiency in Python, R, Spark Knowledge in small- & large-scale database design, maintenance and querying (SQL & nonSQL, Kafka consumers, ElasticSearch...) Cloud services Experience creating and using advanced machine learning algorithms and statistics with open source libraries (ScikitLearn, TensorFlow...): regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. MLOps technologies and experience in moving and maintaining a Machine Learning model in production Data mining, cleaning, collecting & analysis Tool building for automation, CI/CD As a responsible company, Plastic Omnium pays particular attention to diversity and equality within its teams and the Group commits to treat all job applications equally.