Manufacturing and Supply
Wo Wunder der Wissenschaft
für Patient*innen Realität werden

GSC Senior Advanced Analytics Master​

· Location: Barcelona - Spain
· Hybrid 
· Full time 

About the job

Our Team:

At Sanofi we are chasing the miracles of science to improve people’s lives. We at Global Supply Chain Strategy & Excellence support this ambition by driving strategy and excellence through innovation and digitalization, redesigning work, enabling people, and providing expertise.

At Supply Chain Business Analytics Center of Excellence, we are on a mission to ensure everyone can harness the power of data in every decision. Our ambition is to transform and disrupt the SC practice to make it data-driven and digitally enabled to simplify, accelerate and improve the impact of the decision making processes steering for best-in-class SC performance.

We believe in empowering the business with execution visibility, advanced analytics and with interactive data visualizations from multiple data sources.

Our scope includes all Supply chain processes: Customer Care, Logistics (Warehousing, Distribution and transportation), Supply chain planning (Distribution requirements planning, Demand planning, Integrated Business Planning, Inventory and Supply Planning) and Production/Scheduling Planning, across all Plants, Regions and Markets and for all Business units (GBUs).

You will contribute to empower the life of our patients worldwide by extracting meaning from data and providing tangible and actionable outcomes using the latest available technics and technologies (AI/ML/GenAI).

Join us in this adventure!

Main responsibilities:

• Our ideal candidate will have strong technical skills such as Optimization, Statistics, Machine Learning and will be proficient using tools as R/Python.

• Build end-to-end data science pipelines to generate insights and business value from complex datasets

• Investigate, explore and evaluate new and existing datasets in order to leverage their potential usage in different datascience projects

• Design, implement and run experiments to validate performance of existing and new models

• Build advanced analytics solutions and ensures seamless integration within SC processes and adoption

• - Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information

• Build and adapt machine learning models to improve performance of existing forecasting, classification, segmentation and NLP pipelines

• Work on full spectrum of activities from conducting ML experiments to delivering production ready models and creation of ML libraries to facilitate ML scaling

• Contribute to the scaling and industrialization of innovative ML initiatives by writing highly optimized and reusable code, following MLOps best-practices and using state-of-the art technologies

• Evaluate and leverage the usage of new data-oriented technologies within the Sanofi cloud & data environments

• Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership in SC

• Performs large-scale experimentation to identify hidden relationships between variables in large datasets in SC

• - Implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient

• Develops frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint

• Work with user experience specialists to enhance user experience and drive adoption

• Advise product teams on new products, features, or updates

• Visualize information and develop reports on the results of data analysis using data visualization tools

• Help building a solid data culture within the Sanofi community

• Support applications through life cycle management, and steer continuous improvement.

• Interact with the community of practice for analytics.

• Gather from them the business needs in terms of data, data visualization, self-service analytics, automation, and value-driven optimization.

• - Understand the complexity of the required solution and define the right design approach to the developing team.

• Deliver projects with Agile methodology

• Build advanced analytics and optimization tools that will enable Sanofi to increase efficiency and competitiveness for instance:

• Optimization: Multi-Echelon Inventory Optimization, SC facilities localization, Milk run optimization, Routes determination.

• Discrete Event simulation: Identification of bottle necks, validation of the inventory policy determined by MEIO

• Machine learning:  KPI target settings, product segmentation, detection of abnormal patterns in systems usage

• AI/GenAI: SC GenAI assistant, OOS probabilistic prediction.

• Partner with Digital to deliver robust, reliable solutions meeting business requirements.

• Apply best practices in analytics to delivery robust and reliable solutions meeting business requirements.

• Strive for standardization, simplification & digitization.

• Ensure that data is managed/analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements

About you

Experience:

• Solid of experience in Supply chain

• Background developing at scale AI, Digital, Data & Analytics solutions

• Significant Project Management experience (Agile and Digital methodologies).

• Proven experience working in a data-centric business environment.

• Proven track record delivering business value through disruptive solutions

• Experience in a complex global organization

• Background in Supply Chain Management is a plus

Soft skills:

• Ability to engage and collaborate with external partners to develop and deliver short, medium- and long-term projects; demonstrated ability to collaborate & influence. High level of emotional intelligence and business integrity;

Technical skills:

• Advanced software development skills in at least two of the standard data science languages (such as Python, R, Scala, C++, Julia), and with database systems (e.g. SQL, NoSQL, graph,..).

• Experienced working in cloud high-performance environments (e.g. Snowflake, AWS, GCP, Apache Spark).

• Advanced in AI, ML, GenAI solutions development (MLOps, CI/CD).

• Expertise in advanced statistical modelling, or broader aspects of mathematics such as optimization or deep ML expertise e.g NLP, imaging

Education:

• Degree in Business Administration, IT, Mathematics, Statistics, Supply Chain Management, Engineering or similar.

• APICS certification is an asset.

Languages: Fluent in English

Manufacturing & Supply - Leadership Skills

Enterprise Leaders: Are able to have the E2E vision of the business, prioritizing the common interest for the benefit of Sanofi and the patients. Are able to connect the dots for their teams and keep them engaged with the vision.

Transformation Leader: Acts as change management and culture role model to foster employee’s engagement and build a psychologically safe and collaborative workplace.

Decision Maker: Takes timely and data-based decisions in a fast moving and complex environment to drive performance and progress. Promotes an environment where decisions are taken at the right level.

Performance Champion: Embrace digital innovation, AI, GenAI to democratize data and drive continuous improvement initiatives to enhance efficiency, quality, safety, and cost effectiveness.

Business Ally: Understand business landscape Industry & business/client groups knowledge to translate the challenges & bring added value. Stay current with global external trends and integrate insights into strategies achieving sustainable competitive advantage.

People Developer: Unleashes the potential of each one and prepares the leaders of the future.  Takes bold decisions to ensure the right talents are at the right place.

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, disability, or gender identity.

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

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Strebe nach Fortschritt. Entdecke Einzigartiges.

Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.

Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.