Accelerator Senior Data Scientist Deep Learning (Paris)
- Location: Paris
- Hybrid
- Work with business teams to understand requirements, and translate them into technical needs
- Apply data science expertise in machine 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 deliver AI/ML solutions.
- 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 molecule-related problems.
- Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired.
- Experience in a healthcare company is a strong 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, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
- Expertise with sensitive data in critical environments (healthcare, defense,...)
- 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)
- Knowledge of Tableau, Power BI, Plotly 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
- We provide a highly collaborative environment, with an opportunity to work with a world class team.
- 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.
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
- Play an instrumental part in creating best practice within our manufacturing facility
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