Accelerator Data Science (Lyon)
- Support 12 blockbuster launch teams and 40 global factories across R&D and M&S
- Work with real-time IoT data from state-of-the-art production and laboratory equipment
- Contribute to one of the strongest treatment pipelines in biopharma
- Collaborate with world-class scientists, engineers, and experts driving digital transformation
- Embrace the startup vibe in our cutting-edge office space
- Enjoy countless amenities right at your doorstep - from nice cafés to restaurants
- Benefit from excellent public transport connections for an easy commute
- Experience the perfect blend of work and life in one of France's most dynamic cities Ready to shape the future of biomanufacturing, make a real-world impact on patients' lives, and do it all from an amazing location?
- Work with business teams to understand requirements, and translate them into technical needs
- Apply data science expertise in machine/deep learning, statistics, forecasting and optimization to multiple AI projects/products
- Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
- Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
- Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
- Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
- Work with developers, engineers, and MLOps to industrialise and deliver scalable AI/ML solutions
- Participate and contribute to the global data science community of practice
- Be accountable and responsible for the robustness of the AI solution
- Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical
- Mentor junior data scientists and analysts providing guidance in career development and technical growth
- 5 to 8 years' experience
- Experience developing deployable code and deploying models in product-focused development under an agile environment
- Experience in production-ready software development
- Track record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)
- Experience with database mining, big data, and large-scale virtual screening
- Experience in a healthcare company is a strong plus
- Experience in IoT and timeseries forecasting is a plus
- Excellent written and verbal communication skills
- Experience working with multiple teams to drive alignment and results
- Service-oriented, flexible, positive team player
- Self-motivated, takes initiative
- Problem solving & critical thinking
- Expertise in business analysis, data visualization and data storytelling
- Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
- Expertise with sensitive data in critical environments (healthcare, defense, etc.)
- Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
- Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Good knowledge of AI regulations
- PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master's Degree in relevant domain
- English, French
- Learn what it takes to make a service with a truly global reach
- Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
- Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
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