.Statistical Data Scientist Lead Location: Barcelona - SpainHybrid Full time About the job At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need.
It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.
At the 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 interactive data visualizations from multiple data sources.
We are seeking a skilled and experienced Statistical Data Scientist Lead to join our Supply Chain Analytics team.
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 techniques and technologies (AI/ML/GenAI).
Main Responsibilities
- Contribute to our forecasting capabilities through enhancements, automation, and expansion of our forecasting cycle.
- Define statistical forecast automation strategies based on advanced cloud computing.
- Connect externally to bring outside expertise in new technologies and techniques, and benchmark to provide the best possible forecast signal as it drives decisions on the whole supply chain (what/where/when to buy, produce, ship, stock) so that our medicines are available to our patients in time and at the most efficient cost.
- Maintain and improve our current forecast engine code base and develop new features to include more statistical or machine-learning-based models and algorithms.
- Lead innovation projects related to the forecasting cycle and increasing the impact of our forecasts within the business.
- Work with GBU Leads to integrate relevant transversal data for advanced predictive models including but not limited to synergy, finance promotions, patients, launch plan and indications, internal and external BOS and Economic Trends.
- Ensure that data is managed/analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.)
and cybersecurity requirements.
About You Experience:
- 8+ years' experience.
- Broad experience with time series forecasting, particularly on the statistical and machine learning models and algorithms.
- Experience in Data Science related projects.
- Developing people with new ways of optimizing internal forecasting processes and collecting market intelligence.
- Previous experience improving forecast accuracy by integrating relevant transversal data for advanced predictive models.
Soft Skills:
- Model business problems into data solutions.
- Ability to understand and interpret forecasting algorithms