Process data science lead

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%).

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* Partner with the Digital organization to improve the capabilities of AI tools that are designed for process troubleshooting and yield management (20%)

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* Develop automated analytics workflows and AI-assisted troubleshooting as game-changing capabilities using Dataiku, Gen AI and other advanced capabilities (20-30%)

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* 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.

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* Learn and grow: Opportunities to work with cutting-edge technologies and be part of groundbreaking projects.

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* 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.”

La diversité et l’inclusion sont les piliers de la manière dont Sanofi fonctionne et font partie intégrante des valeurs de la société. Nous respectons la diversité de nos collaborateurs, tout comme celle de leurs parcours et expériences. Afin de bénéficier de la richesse qu’apporte la diversité, Sanofi s’engage à donner l’exemple en matière d’inclusion et à favoriser un environnement de travail où les différences peuvent prospérer et contribuer à aider les patients à retrouver une vie meilleure.

Dans le cadre de son engagement diversité, Sanofi accueille et intègre des collaborateurs en situation de handicap.