_Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail._ _This job offer is accessible to all, regardless of gender._   **Job title** : _Process Data Science Lead_ + _Location: France, Belgium_ + _Job type: Permanent_ _About the job_ _At Sanofi, we deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams including Global MSAT (Manufacturing Sciences, Analytics, and Technology). With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. As a Process Data Science Lead within MSAT Process Data Management, ML and AI platform, you will contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. You will also help us fulfil our ambitions to provide best-in-class data-driven Manufacturing Support, focusing on technical and process aspects, process monitoring, process robustness enhancement, and yield improvement to optimize performance._ **Main responsibilities:** + Lead the development and the application of AI methodologies, tools and strategies to facilitate proactive process monitoring and process diagnostics/troubleshooting (30%) + Provide training and upskilling the DSD techno platforms teams to use data and AI solutions for process robustness monitoring and troubleshooting (10-20%).· + Partner with the Digital organization to improve the capabilities of AI tools that are designed for process troubleshooting and yield management (20%)· + Develop automated analytics workflows and AI-assisted troubleshooting as game-changing capabilities using Dataiku, Gen AI and other advanced capabilities (20-30%)· + Provide ad-hoc process troubleshooting support for techno platforms across MSAT to ensure business continuity (10%). _About you_ **Experience** : + Must have a minimum of 4 years (PhD) or 7 years (MSc) of relevant process modelling/process diagnostics experience in manufacturing or industrial settings. + 7 or more years of experience with increasing responsibilities in project and stakeholder management. + 5+ years of experience in delivering insights through multivariate statistics, mathematical modelling, and data visualization. + Proficient in using classification, clustering, and dimensionality reduction. + Computer proficiency and experience with modelling software, coding languages and other tools + Strong knowledge in working with data historian systems, including PI Asset Framework (AF) & PI Event Frames, Manufacturing Execution System (MES) and IoT solutions. + Experience with implementing ETL processes for aggregating and contextualizing data. + Experience with developing business requirements, and ability to influence and communicate with a diverse group of stakeholders from multiple levels of management. + Ability to deliver projects with complex requirements and a strong customer focus. **Technical skills** : + Data analysis and modelling using open-source software libraries, SIMCA, Dataiku and JMP + Database design/management tools: AVEVA PI or Aspen InfoPlus 21 historian, MS SQL Server, MySQL, and PostgreSQL + Scripting tools: Python, R, and SQL + Data visualization: Power BI, Streamlet, PI Vision + Big Data/cloud platforms: AWS, Snowflake, Azure + Other relevant software such as MS office, software for project management and agile activity tracking. **Project Management:** + Lean & Agile practices + User experience management + Vendor management **Transversal Skills & Competencies (Soft skills):** + Problem solving and decision making + Storytelling and technical writing + Building partnerships/stakeholder management + Transversal collaboration + Strategic thinking + Change management **Education** : + MSc. or PhD in process, industrial or chemical engineering with data science or process modelling background or a similar technical field. + Formal training and certification or self-learned demonstratable skills as a data science practitioner in developing and implementing process monitoring, modelling and ML/AI solutions. **Languages** : + Formal training and certification or self-learned demonstratable skills as a data science practitioner in developing and implementing process monitoring, modelling and ML/AI solutions. _Why choose us?_ + **Opportunity to make an impact:** Every day is presented with challenges to innovate, find compromises and most importantly to make an impact that can help our patients. + undefined + **Learn and grow** : Opportunities to work with cutting-edge technologies and be part of groundbreaking projects. + undefined + **Employee Recognition Programs:** Sanofi has a global recognition culture that reinforces play-to-win behaviours, improves collaboration, and drives performance. The Bravo! program allows employees to be recognized with and without points across the global Sanofi community. + **Employee Recognition Programs:** Sanofi has a global recognition culture that reinforces play-to-win behaviours, improves collaboration, and drives performance. The Bravo! program allows employees to be recognized with and without points across the global Sanofi community. _“We are seeking a candidate who leverages their business and process knowledge to identify and solve problems that enhance the lives of subject matter experts. This individual should possess a proactive mindset, always looking for opportunities to improve efficiencies and drive impactful change.”_ **Pursue** **_progress_** **, discover** **_extraordinary_** Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) ! Global Terms & Conditions and Data Privacy Statement (https://www.sanofi.com/en/careers/global-terms-and-conditions/) Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi (https://youtu.be/96EwNjb1TLo) As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live. All in for Diversity, Equity and Inclusion at Sanofi - YouTube (http://www.youtube.com/watch?v=SkpDBZ-CJKw&t=2s)