Data Scientist Ajouter aux favoris
- Location: Lyon
- Hybrid: 60% office / 40% remote
- Permanent: Fulltime
- 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
- 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
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
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