Data Scientist Engineer

<b> Job title: </b><br> <br> Data Scientist Engineer<br><br><b> About Us: </b><br> <br> We are a global technology company, driving energy innovation for a balanced planet.<br> <br> At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer.<br> <br> Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.<br><br><b> Location: </b><br> <br> Montpellier, France<br> <br> The candidate will be working with a team based in Montpellier (France) but will also need to travel to Beziers once a week with the team (carpooling) to collaborate with Genvia manufacturing team and deploy & test AI solutions. <br><br><b> Job Summary: </b><br> <br> Genvia enable companies operating in 'hard-to-abate' sectors to explore the best routes to decarbonisation at scale. We are developing pathway to cleaner growth by equipping existing plants with efficient hydrogen generation capabilities.<br> <br> You will join the team who develops the digital manufacturing platform required to produce next generation of electrolyzers for future Genvia Gigafactory.<br> <br> Your mission will be: <br> <ul> <li> To develop industrial AI solutions to optimize Genvia production system (incl. manufacturing process, supply chain, etc.).</li> <li> To analyze & predict defects.</li> <li> To carry out predictive maintenance on production line equipment.</li> <li> To help real-time decision-making process. </li> </ul> <br><br><b> Qualifications and competencies: </b><br> <br> Must have: <br> <br> &bull; 5 years of Machine Learning experience on analysis of images and time-series<br> <br> &bull; Strong expertise in Python and ML libraries (Scikit-learn, PySpark, PyTorch, Keras, etc.)<br> <br> &bull; Experience with data engineering and High-Performance Data Analytics (Big Data)<br> <br> &bull; Solid background in applied mathematics<br> <br> Nice to have: <br> <br> &bull; Experience in smart manufacturing and/or Industrial IoT<br> <br> &bull; Understanding of Knowledge Graph<br> <br> &bull; Knowledge of discrete-event simulation modeling<br> <br> &bull; Experience with Databricks<br> <br> &bull; Docker/Kubernetes<br> <br> &bull; MLOps practice <br><br>Soft skills <br> <br> &bull; Excellent team player who is open to new ideas and thoughts<br> <br> &bull; Curious about AI (active technology watch), Cloud and Industry 4.0 technologies<br> <br> &bull; Structured thinking and data sensitiveness<br> <br> &bull; Good communication skills, proficient in French and English<br> <br> &bull; Ability to work well under pressure and meet tight deadlines<br><br><b> Career Advancement: </b><br> <br> SLB Eureka Technical Career (SETC) provides proven technical contributors with a career path that offers them recognition, reward, and influence that parallels an equivalent management progression. We are leaders in Technology Domain Knowledge - Our Eureka Community of practice has over 28,500 members, in 30 communities, with 123 Special Interest Groups (SIGs). We've published over 10,000 publications in the past decade. The early stage of SETC known as