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%).

* 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:

* Minimum 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 in delivering insights through multivariate statistics, mathematical modelling, and data visualization.

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

* Computer proficiency with modelling software, coding languages, and tools.

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

* Experience with implementing ETL processes for data aggregation and contextualization.

* Experience in developing business requirements and communicating with diverse stakeholders at multiple management levels.

* Ability to deliver projects with complex requirements, with a strong customer focus.


Technical skills:

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

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

* Scripting: Python, R, SQL.

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

* Big Data/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

* 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, certification, or demonstrable self-learned skills as a data science practitioner.


Languages:

* Skills in developing and implementing process monitoring, modelling, and ML/AI solutions.


Why choose us?

* Opportunity to make an impact: Every day presents challenges to innovate, find compromises, and make an impact that can help our patients.

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

* Employee Recognition Programs: Sanofi’s global recognition culture reinforces positive behaviors and drives performance through programs like Bravo!.

“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, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability, or gender identity.

Watch our ALL IN video and check out our Diversity, Equity, and Inclusion actions at sanofi.com!

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