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 fulfill 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 application of AI methodologies, tools, and strategies to facilitate proactive process monitoring and diagnostics/troubleshooting (30%)

* Provide training and upskilling to 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 AI tools 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:

* Minimum of 4 years (PhD) or 7 years (MSc) of relevant process modelling/process diagnostics experience in manufacturing or industrial settings.

* 7+ years of experience with increasing responsibilities in project and stakeholder management.

* 5+ years of experience delivering insights through multivariate statistics, mathematical modelling, and data visualization.

* Proficient in classification, clustering, and dimensionality reduction techniques.

* Experience with modelling software, coding languages, and tools.

* Strong knowledge of working with data historian systems, including PI Asset Framework (AF), PI Event Frames, Manufacturing Execution System (MES), and IoT solutions.

* Experience with ETL processes for data aggregation and contextualization.

* Ability to develop business requirements and communicate effectively with stakeholders at multiple levels.

* Ability to deliver projects with complex requirements and a customer-focused approach.

Technical skills:

* Data analysis and modelling with open-source libraries, SIMCA, Dataiku, JMP.

* Database management: AVEVA PI, Aspen InfoPlus 21, MS SQL Server, MySQL, PostgreSQL.

* Scripting: Python, R, SQL.

* Data visualization: Power BI, Streamlet, PI Vision.

* Cloud platforms: AWS, Snowflake, Azure.

* Other software: MS Office, project management, agile tools.


Project Management:

* Lean & Agile practices

* User experience management

* Vendor management


Transversal Skills & Competencies (Soft skills):

* Problem solving and decision making

* Storytelling and technical writing

* Partnership building and stakeholder management

* 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, certification, or demonstrable self-learned skills in data science for process monitoring, modelling, and ML/AI solutions.


Languages:

Proficiency in English is required for international interactions.


Why choose us?

* Impact opportunity: Innovate and make an impact to help patients.

* Learn and grow: Work with cutting-edge technologies and groundbreaking projects.

* Recognition programs: Sanofi’s global recognition culture, including the Bravo! program.

“We seek a proactive individual who leverages business and process knowledge to solve problems and drive efficiencies, improving lives.”

Pursue progress, discover extraordinary.

Better outcomes start with diverse, committed people working together to make miracles happen.

At Sanofi, we are committed to equal opportunity employment regardless of race, religion, gender, or background.

Watch our ALL IN video and learn about our Diversity, Equity, and Inclusion actions!

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